「零元效應」所指的是消費者面對同類性質之高低價兩商品，當低價商品從原價降至零元，而高價商品同時等量降價時，消費者對低價商品之偏好將顯著增加，並且因確定性效應、損失規避及稟賦效應造成。研究目的驗證零元效應的強度與成因，設計實驗零元效應於不同消費領域、族群是否皆成立；設計兩種商品，A為高品質高價位，B為低品質低價位，兩種定價情況，定價情況1，A商品為A元，B商品為B元，定價情況2，A商品為A-B元，B商品為B-B元（零元）。實驗結果使用Wilcoxon 等級和檢定，以需求光譜進行分析，並與 Dan Ariely (2007) 實驗結果進行比較，發現其差異不大；結果發現受試者身分不影響零元效應存在，除「必需品」外，其他品項皆存在零元效應，並且發現零元效應的強度受需求強度影響，若需求越強，零元效應將越弱。需求遂受試者環境影響改變，故不同國家將有不同結果。

Washing is one of the things that must be done by every household. Rural and urban communities have to wash clothes every day, to get clean clothes so they can be reused. But it turns out that with many households doing this activity, it will cause side effects that are not good. The impact will worsen the quality of the surrounding water because this activity is not equipped with a waste treatment process, but instead is dumped directly into the nearest ditch or river. As a result, this waste causes water pollution. The chemical compositions contained in detergents are grouped into 3, namely surface active substances ranging from 20-30%, reinforcing agents are the largest detergent components ranging from 70-80% and other ingredients around 2-8%, where surfactants are the main ingredients. cleaning agent in detergent. If not managed properly, it will cause environmental problems in the future. This research was carried out for 4 months at MAN Sidoarjo and Brawijaya University. The research method used was research and development and experiment methods, and data collection techniques using the observation method. From these problems, we offer a solution by making an internet of things-based device which we call HOPE WASTE (House Processor Waste) with IoT (Internet of Things) as the processing of household laundry liquid waste. HOPE Waste is a house-shaped device that functions to treat Laundry Liquid Waste which combines electrocoagulation methods and utilizes Biosorbents, namely Barringtonia Asiatica and Activated Charcoal which are made into powder. Where the Biosorbent content can bind chemicals in laundry liquid waste so that we can combine them using environmentally friendly IoT-based electrocoagulation methods.

Washing is one of the things that must be done by every household. Rural and urban communities have to wash clothes every day, to get clean clothes so they can be reused. But it turns out that with many households doing this activity, it will cause side effects that are not good. The impact will worsen the quality of the surrounding water because this activity is not equipped with a waste treatment process, but instead is dumped directly into the nearest ditch or river. As a result, this waste causes water pollution. The chemical compositions contained in detergents are grouped into 3, namely surface active substances ranging from 20-30%, reinforcing agents are the largest detergent components ranging from 70-80% and other ingredients around 2-8%, where surfactants are the main ingredients. cleaning agent in detergent. If not managed properly, it will cause environmental problems in the future. This research was carried out for 4 months at MAN Sidoarjo and Brawijaya University. The research method used was research and development and experiment methods, and data collection techniques using the observation method. From these problems, we offer a solution by making an internet of things-based device which we call HOPE WASTE (House Processor Waste) with IoT (Internet of Things) as the processing of household laundry liquid waste. HOPE Waste is a house-shaped device that functions to treat Laundry Liquid Waste which combines electrocoagulation methods and utilizes Biosorbents, namely Barringtonia Asiatica and Activated Charcoal which are made into powder. Where the Biosorbent content can bind chemicals in laundry liquid waste so that we can combine them using environmentally friendly IoT-based electrocoagulation methods.

According to CNN Indonesia 2020, the demand for e-Commerce in Indonesia has nearly doubled during this pandemic. This surge in demand calls for a time-efficient method for warehouse order-picking. One approach to achieve that goal is by incorporating automation in their warehouse systems. Globally, the market of warehouse robotics is expected to reach 12.6 billion USD by 2027 (Data Bridge Market Research, 2020). In this research, the warehouse system studied would utilize AMR (Autonomous Mobile Robots) to lift and deliver movable shelf units to the packing station where workers are at. This research designed a heuristic algorithm called A.N.T.s (Algorithm for Navigating Traffic System) to conduct task assigning and pathfinding for AMR in the automated warehouse. The warehouse layout was drawn as a two-dimensional map in grids. When an order is placed, A.N.T.s would assign the task to a robot that would require the least amount of time to reach the target shelf. A.N.T.s then conducted pathfinding heuristically using Manhattan Distance. A.N.T.s would help the robot to navigate its way to the target shelf unit, lift the shelf and bring it to the designated packing station. A.N.T.s algorithm was tested in various warehouse layouts and with a varying number of AMRs. Comparison against the commonly used Djikstra’s algorithm was also conducted (Shaikh and Dhale, 2013). Results show that the proposed A.N.T.s algorithm could execute 100 orders in a 27x23 layout with five robots 9.96 times faster than Dijkstra with no collisions. The algorithm is also shown to be able to help assign tasks to robots and help them find short paths to navigate their ways to the shelf units and packing stations. A.N.T.s could navigate traffic to avoid deadlocks and collisions in the warehouse with the aid of lanes and directions.

”The broken pick-up sticks problem” is proposed by T. Kyle Petersen and Bridget Eileen Tenner in 2020. We solve the problem by considering the discrete version using random variables, and the limit behaviour of the discrete version gives us a combinatorial solution to the original problem. We also evaluate the probabilities of the triangles formed by the broken/pick-up sticks satisfying some specific geometric conditions with various techniques, including calculus and elementary number theory.

本研究旨在研究一款自創棋類遊戲「梅花棋」，找出效率最佳的演算法及分析AI的適用性。遊戲規則如下：雙方玩家輪流在19階的棋盤上下棋，先手執黑子，後手執白子，任一方形成梅花即獲勝。隨著棋子的增加，肉眼判斷勝負愈發困難，因此希望借助電腦的力量完成它。我們透過C++編寫程式，持續改良優化演算法，提升電腦的精確度與流暢度。過程中依序提出了平均演算法、畢氏定理演算法、向量演算法、以及網狀編碼演算法。目前最新版本中，我們使用含有螺旋編碼表的網狀編碼演算法，這可使電腦快速正確地判斷勝負。得到最佳的演算法後，我們嘗試運用撰寫Minimax演算法編寫AI，並且不斷增加演算法的深度，從而提升電腦的實力。透過Victory notion的概念分析兩者間的相似度，判斷其對於梅花棋的適用性。透過不斷與Minimax演算法測試遊戲，將梅花棋規則中，先後手的優勢差距逐漸縮小。目前本研究已可順利進行單純的雙人對戰與複雜的人機對戰模式。

In order to recycle disposable diapers, we investigated the conditions where sodium sesquicarbonate (Chemical formula Na2CO3・ NaHCO3・ 2H2O hereinafter called sesqui) precipitates selectively from sodium carbonate and the conditions for high yield. For the selective precipitation of sesqui, we defined the time required for the reaction solution to pass through the sesqui precipitation area in the Na2CO3-NaHCO3-H2O phase diagram (45°C) as Δ t. As a result, we revealed that Δt is involved in the selective precipitation of sesqui, and that we can synthesize sesqui without the expensive addition of L-Arginine as used in a previous research. Also, we proposed the “Stay method”, in which the supply of CO2 is stopped for 30 minutes to the lengthen the Δ t, and found that we could synthesize sesqui selectively even under conditions in which sodium bicarbonate is likely to be precipitated as well. Regarding the high yield of sesqui, the yield was greatly improved by the common ion effect of Na by adding NaOH to the reaction solution, sesqui synthesis by repeated reactions with CO2, and sesqui recovery by adding the anti-solvent ethanol, reaching a sesqui conversion rate of 95%. This means 109 g of sesqui can be synthesized from 100 g of Na2CO3. Moreover, we confirmed that these synthesized samples have almost the same detergency as commercial sesqui. We did a test calculation to reveal the usefulness of this research. First, if diaper recycling technology is put into practical use and all used diaper waste in Saijo City can be recycled, a reduction of 534 t/year of used diaper waste can be expected. This corresponds to a 2.3% reduction in Saijo City's waste output. From the ash that would ultimately remain after being recycled, we expect up to 35.3 t/year of synthesized sesqui using our experimental method. In addition, a CO2 reduction of 8.2 t/year is possible in the process, which is about equivalent to the volume of one gymnasium.

The development of rapid and efficient synthetic approaches to the bioactive cyclic and polycyclic azaheterocycles is one of the most important challenges in organic synthesis. In this work effective and simple synthetic approaches to polysubstituted pyrrolidin-2-ones 2 and isoindolines 3 from donor-acceptor cyclopropanes 1, bearing the ester group as the one of acceptor substituents, and amines were developed. The γ- pyrrolidone based skeletons and isoindoline ring system is a constituent of many biologically active molecules, both natural and synthetic, and a key component of clinically relevant entities (Fig.1,2) [1,2]. The synthesis of pyrrolidin-2-ones 2 includes Lewis acid-catalyzed opening of the donor-acceptor cyclopropane with primary amines (anilines, benzylamines, etc.) to γ-amino esters, followed by in situ lactamization and dealkoxycarbonylation. The reaction has a broad scope of applicability; a variety of substituted anilines, benzylamines, and other primary amines as well as a wide diversity of donor-acceptor cyclopropanes bearing (hetero)aromatic or alkenyl donor groups and various acceptor substituents, can be involved in this transformation. In this process, donor-acceptor cyclopropanes react as 1,4-C,C-dielectrophiles, and amines as 1,1- dinucleophiles. The resulting di- and trisubstituted pyrrolidin-2-ones can be also used in subsequent chemistry to obtain various nitrogen-containing polycyclic compounds of interest to medicinal chemistry and pharmacology, such as benz[g]indolizidine derivatives. The synthesis of the substituted isoindolines 3 is based on the domino-reaction between donor-acceptor cyclopropanes, bearing in ortho-position of aromatic substituent a bromomethyl group, and different primary amines (e.g., anilines, benzylamines, cycloalkylamines) was developed. The reaction involves the generation of secondary amine followed by nucleophilic ring opening of cyclopropane with amino group. Moreover, this process provided a new practical method for the rapid synthesis of benzo[b]pyrrolizidinone 4 from readily available starting materials.

GAGA 序列為生物發育重要順式作用子； BPC (BASIC PENTACYSTEINE) 則為植物特有 GAGA 結合蛋白。已知 bpc 突變體具多效性，其生理時鐘相關之發育有多重缺陷。阿拉伯芥BPC家族中 BPC1, BPC2, BPC3 為第一亞群，且 BPC 群間和群內有重疊與拮抗作用。為探究第一群 BPC 是否調控生理時鐘，本實驗以 3D 影像觀察 bpc1 bpc2、bpc1 bpc2 bpc3 及野生型之晝夜運動，並誘導 BPC 過量表現以檢測時鐘基因反應，發現 bpc 突變體之晝夜運動與時鐘節律皆有缺陷，顯示 BPC 能影響生理時鐘運行。透過一系列對第一群 BPC 突變體與過量表現植株的 RT-qPCR 檢測，可歸結第一群 BPC 是能調控生理時鐘與葉片生長的中心。

The WHO reports 2.2 billion people internationally have a form of visual impairment, with Perkins School of Blind adding that 4 to 8 percent (8.8 - 17.6 million people) solely rely on a white cane for navigation. In an interview by Stephen Yin for NPR, visually impaired interviewees claimed that a white cane was ineffective as it failed to detect moving obstacles (ex. bikes), aerial obstacles (ex. falling objects), and it became physically demanding after a prolonged period. This problem can be solved with a headset that integrates LiDAR technology and haptic feedback to provide a real-time assessment of their environment. Theoretically, the device will determine how far an object is from the user and place it into one of three conditionals based on distance (0- 290mm, 310-500mm, 510-1200mm). As the user gets closer to the object, the haptic will vibrate more frequently. The device has 11 LIDAR sensors, beetle processors, and ERM motors so that when the LiDAR detects an object, the device will send a haptic signal in that area. It not only identifies the existence of an object but it tells the user its relative position with a latency period of approximately 2 milliseconds. When testing the device, a simulated walking environment was made. Ten obstacles were included: five below the waist (72”, 28”, 35” and 8.5” tall sticks) and five above the waist (paper suspended 6”, 10”, 48” and 28” from the ceiling). The white cane detected 4.1 obstacles, whereas the device detected 7.3 on average. The LiDAR navigation system is 178% more effective at detecting objects comparatively. Visually impaired individuals no longer must rely on the white cane; rather, using this device, they can detect small, moving, and aerial objects at a much faster, and more accurate speed.

In our experiment, we used traditional Chinese medicine to dye on cheap wood, in addition to avoiding the impact of chemical paint on human body; After dyeing, the color and texture quality of the wood are improved, which makes cheap wood have higher price and improves the value of wood; At the same time, it can reduce the felling of slow growing precious wood, which has the functions of environmental protection, earth love and carbon saving. The test material was pretreated with hydrogen peroxide and surfactant, and the bleaching effect was obvious. After dyed with different Chinese medicinal, soak in strong acid and alkali solution for 15 minutes, which shows that strong acid and acid treatment is not allowed. On the other hand, after 15 minutes of immersion in detergent, the color difference value is less than 2, and the rubbing fastness is above grade 4. In the bacteriostasis experiment, no fungus grew in the first 3 days, and it did not grow in the 12th day. In the anti-termite experiment, the mortality rate on the fifth day was 65% for Lithospermum and 83.8% for Wolfberry, and the other groups had a good effect of total elimination. While plastic products have a great impact on the environment, wood that is dyed or modified with natural colored dye, its environmental value far exceeds the human visual perception.

There have been numerous studies exploring the applications of graph theory in traffic management, often finding ways to reduce traffic congestion and make traveling more efficient. Such studies will be beneficial when applied to heavily congested areas such as España Boulevard, one of the busiest thoroughfares in Manila. This paper aimed tooptimize the road map of España Boulevard using graph theory. The current road map of España Boulevard was represented as a directed graphand subjected to the mutation method of edge removal, wherein an edge isremoved in each mutation based on a computed fitness function, F(G),which depicts better efficiency at lower values. Edges were removed until the graph got disconnected, which was tested using the Floyd-Warshall algorithm. The 28th mutation resulted in a minimum F(G) value of 144.4; this is a 50.18% decrease from the F(G) of the original graph, which is 290. After the 28th mutation, the removals resulted in an increase in the F(G). As a result, the final mutation resulted in an F(G) of 311.89, which characterized a less efficient graph. This study was able to apply graph theory concepts to optimize the España Boulevard road map using the mutation method, minimizing its F(G) by at most 50.18%. For future studies, the practicality of the alternate road map may be tested in simulations to examine its efficiency when other factors, such as traffic volume, are introduced.