bluuebunny/crossref_metadata_2025 huggingface dataset:
Sebuah Upaya Memutus Impunitas: Tanggung Jawab Komando Dalam Pelanggaran Berat Hak Asasi Manusia
Authors: Nusantara Abdul Hakim G
Published: April 2023

Impunitas  yaitu  membiarkan  para pemimpin  politik dan  militer yang diduga terlibat dalam kasus pelanggaran berat Hak Asasi Manusia seperti, kejahatan genosida, kejahatan  kemanusiaan,  dan  kejahatan perang  tidak diadili merupakan  fenomena hukum clan politik yang dapat kita saksikan sejak abad yang lalu hingga hari ini. Pada abad yang lalu negara-negara Eropa gaga! membentuk   pengadilan   internasional sebagaimana direkomendasikan Perjanjian Versailles untuk mengadili Raja Wilhelm II berkaitan dengan kekuasaannya yang melawan moralitas internasional. Impunitas dinikmati pula oleh Kaisar Hirohito. Amerika Serikat selaku pemenang perang memutuskan tidak  mengadili tokoh penjahat  perang dunia ke II ini dan bahkan melindungi dan membiarkannya sebagai Kepala Negara Kerajaan Jepang. Sampai hari ini kita masih terus menyaksikan drama impunitas yang terus dinikmati para pemimpin  politik clan militer yang diduga tidak hanya melakukan  pelanggaran  berat hak asasi manusia tetapi juga diduga telah merampok uang negara  dalam skala yang amat  luar biasa  besarnya.  Dari mulai Idi Amin,  Mangistu  Haile  Mariam,  Mobutu Seseko,  Pinochet.  Soeharto,  dan  lain sebagainya. Para mantan penguasa itu sebagian telah pergi  dari dunia menernui raja akhirat. Namun sebagian lainnya tetap enak-enak menikmati hasil korupsinya di hari tuanya tanpa pernah bisa disentuh oleh hukum. Pada saat yang sama kita menyaksikan drama pengadilan pura-pura atau pengadilan se-olah-olah yang mengadili dan menghukum   serdadu serdadu berpangkat rendah dengan hukuman  yang acap ringan clan melawan nurani  keadilan  masyarakat. Masih terus berlangsungnya fenomena impunitas menunjukkan pertimbangan-pertimbangan kepentingan   politik,   ekonomi  jangka pendek dan bahkan militer masih dominan ketimbang  kepentingan  penegakan HAM dan keadilan.
Penyelesaian Pelanggaran Hak Asasi Manusia Yang Berat; Belajar Dari Pengalaman
Authors: Nababan Asmara
Published: April 2023

This article discuss the concepts of gross human rights violation, individual responsibility in international crime, element  of crime of human  rights violation, the concept of command   responsibility and the settlement   mechanism  of human  rights violation. The writer asks us to take lesson learn from the experiences of Timar-Timurand Tanjung Priok trial and "the stuck"  in the investigationprocess in Trisakti, Semanggi I don II and Mei cases in the hand of Attorney  General. The realities show that so many weaknesses are needed to be handled  immediately.  For that reason, it is important  to make amendment of UU No.  2612000 of Human  Rights Court. The writer also discuss the hybrid tribunal in Cambodia, Timar Leste and Sierra Leone as an effort to give preference  to the state to conduct  its obligation and in other side also to guarantee  that the court is conducted  in mutual accord with international  standard.
Persidangan Campuran: Mencari Keadilan Di Timor Timur
Authors: Katzenstein Suzanne
Published: April 2023

The Hybrid tribunal is a system that share judicial accountability jointly between  the state in which it function and the United Nations.   Based on "the lesson learn" from the International Criminal Tribunal for the Former Yugoslavia (ICTY)  and the International Criminal Tribunal for  Rwanda (!CTR), the hybrid model endeavor to combine the strengths of the ad hoc tribunals with the benefits of local prosecutions. The hybrid model's great• est risk is that rather than incorporate the best of   the international and local judicial systems,  it may reflect the worst of both.  This article identifies the weakness in East Timor's hybrid tribunal and examines their underlying causes. Two big  questions in this article are: First, is the theoretical ideal of the hybrid model attainable in practice? Second,  is a constrained judicial mechanism preferable to none?The critical analysis offered by this article is motivated  by a desire to understand  the weaknesses of the tribunal so that they may be avoided in the future.
Explainable stock price prediction using technical indicators with short Thai textual information
Authors:   , Prachyachuwong Kittisak
Published: April 2023

A stock trend prediction has been in the spotlight from the past to the present. Fortunately, there is an enormous amount of information available nowadays. There were prior attempts that have tried to forecast the trend using textual information; however, it can be further improved since they relied on fixed word embedding, and it depends on the sentiment of the whole market. In this paper, we propose a deep learning model to predict the Thailand Futures Exchange (TFEX) with the ability to analyze both numerical and textual information. We have used Thai economic news headlines from various online sources. To obtain better news sentiment, we have divided the headlines into industry-specific indexes (also called "sectors") to reflect the movement of securities of the same fundamental. The proposed method consists of Long Short-Term Memory Network (LSTM) and Bidirectional Encoder Representations from Transformers (BERT) architectures to predict daily stock market activity. We have evaluated model performance by considering predictive accuracy and the returns obtained from the simulation of buying and selling. The experimental results demonstrate that enhancing both numerical and textual information of each sector can improve prediction performance and outperform all baselines.
ประสิทธิภาพในการป้องกันการเกิดสมองขาดเลือดซ้ำของการให้ยาไรวารอกซาแบนภายหลังการเกิดภาวะสมองขาดเลือด เปรียบเทียบระหว่างการเริ่มให้ยาภายใน 48 ชั่วโมงแรกกับการให้ยาที่ 7 วัน ในผู้ป่วยสมองขาดเลือดที่มีสาเหตุมาจากหัวใจห้องบนเต้นผิดจังหวะชนิดเอเทรียลฟิบริเลชั่นที่ติดตามผลการรักษาโดยใช้ผลตรวจทางคลื่นสะท้อนในสนามแม่เหล็กสมอง
Authors:   , ทัศนวรปัญญา พัชราภา
Published: April 2023

ที่มา ปัจจุบันแนวทางการรักษาเริ่มยาต้านการแข็งตัวของเลือดในผู้ป่วยสมองขาดเลือดที่มีสาเหตุมาจากภาวะหัวใจห้องบนเต้นผิดจังหวะชนิดเอเทรียลฟิบริเลชั่นยังไม่มีความชัดเจนของระยะเวลาในการเริ่มยา ยาต้านการแข็งตัวของเลือดกลุ่มใหม่มีประสิทธิภาพในการป้องกันสมองขาดเลือดในผู้ป่วยที่มีภาวะหัวใจห้องบนเต้นผิดจังหวะชนิดเอเทรียลฟิบริเลชั่นได้เทียบเท่าหรือดีกว่ายาวาร์ฟารินและมีอัตราการเกิดเลือดออกในสมองน้อยกว่า วัตถุประสงค์ เพื่อศึกษาประสิทธิภาพและความปลอดภัยในการป้องกันการเกิดสมองขาดเลือดซ้ำของการให้ยาไรวารอกซาแบนภายหลังการเกิดภาวะสมองขาดเลือดเปรียบเทียบระหว่างการเริ่มให้ยาตั้งแต่ 48 ชั่วโมงแรกกับการให้ยาที่ 7 วัน ในผู้ป่วยสมองขาดเลือดขนาดเล็กถึงปานกลางที่มีสาเหตุมาจากหัวใจห้องบนเต้นผิดจังหวะชนิดเอเทรียลฟิบริเลชั่น วิธีการวิจัย การวิจัยเป็นการวิจัยเชิงทดลองแบบสุ่มและปกปิดฝ่ายเดียวที่ศึกษาผู้ป่วยสมองขาดเลือดที่มีสาเหตุมาจากหัวใจห้องบนเต้นผิดจังหวะชนิดเอเทรียลฟิบริลเลชั่นที่เข้ารับการรักษาในโรงพยาบาลจุฬาลงกรณ์ โดยทำการสุ่มผู้ป่วยออกเป็น 2 กลุ่ม คือกลุ่มผู้ป่วยที่ได้รับยาไรวารอกซาแบนภายใน 48 ชั่วโมงแรกหลังเกิดอาการสมองขาดเลือดและกลุ่มผู้ป่วยที่ได้รับยาไรวารอกซาแบนที่ 7 วันหลังเกิดอาการสมองขาดเลือด มาเปรียบเทียบอัตราการเกิดโรคสมองขาดเลือดซ้ำและอัตราการเกิดเลือดออกในสมองที่ตรวจพบจากการตรวจด้วยคลื่นสะท้อนในสนามแม่เหล็กที่ 4 สัปดาห์ ผลการวิจัย มีผู้ป่วยเข้าร่วมในการวิจัยจำนวน 26 ราย พบว่าการให้ยาต้านการแข็งตัวของเลือดไรวารอกซาแบนทั้งในกลุ่มที่ให้ยาแบบเร็วภายใน 48 ชั่วโมงแรกหลังเกิดอาการสมองขาดเลือดและกลุ่มที่ให้ยาแบบช้าที่ให้ยาไรวารอกซาแบนที่ 7 วันหลังเกิดอาการสมองขาดเลือด มีอัตราการเกิดสมองขาดเลือดซ้ำและอัตราการเกิดเลือดออกในสมองไม่แตกต่างกัน โดยผู้ป่วยที่เกิดภาวะเลือดออกในสมองทุกรายเป็นแบบไม่มีอาการและเป็นภาวะเลือดออกที่ไม่รุนแรง ผู้ป่วยทั้ง 2 กลุ่มมีภาวะเลือดออกนอกสมองและระดับความพิการจากโรคหลอดเลือดสมองไม่แตกต่างกัน และผู้ป่วยทั้งสองกลุ่มไม่พบภาวะเลือดออกนอกสมองที่รุนแรง ลิ่มเลือดอุดตันหลอดเลือดแดง กล้ามเนื้อหัวใจขาดเลือด หรือการเสียชีวิตจากโรคหลอดเลือดในระหว่างการศึกษานี้ สรุป ในผู้ป่วยสมองขาดเลือดขนาดเล็กถึงปานกลางที่มีสาเหตุมาจากหัวใจห้องบนเต้นผิดจังหวะชนิดเอเทรียลฟิบริเลชั่น การให้ยาต้านการแข็งตัวของเลือดไรวารอกซาแบนภายใน 48 ชั่วโมงแรกหลังเกิดอาการสมองขาดเลือดและการให้ยาไรวารอกซาแบนที่ 7 วันหลังเกิดอาการสมองขาดเลือดมีประสิทธิภาพและความปลอดภัยไม่แตกต่างกัน
Red blood cell segmentation and classification from microscopic images using machine learning
Authors:   , Naruenatthanaset Korranat
Published: April 2023

Red blood cell morphology analysis plays an essential role in diagnosing many diseases caused by RBC disorders.  This manual inspection is a long process and requires practice and experience. Since recent computer vision and image processing in the medical imaging area can provide efficient tools, it can help hematologists to automatically analyze images from a microscope in a reduced time and cost. This research presents a new method to segment and classify RBCs from blood smear images. The process started from data collection, which a new application was created for precisely labeling. The normalization was done to reduce the color space and allowed the trained model to not be biased on color. Then, overlapping cells were separated using a new method to find concave points and use direct ellipse fitting to estimate the shape of a single RBC. Lastly, classification using EfficientNet-B1 on 12 red blood cell classes was done. However, to classify multiple classes with deep learning, imbalance problems are common in medical imaging because number of normal samples is always higher than number of rare disease samples. The imbalanced handling techniques were analyzed to deal with this problem. Experimental results showed that the weight balancing technique with augmentation had the potential to deal with imbalance problems.
Semi-supervised Thai sentence segmentation using local and distant word representations
Authors:   , Saetia Chanatip
Published: April 2023

A sentence is typically treated as the minimal syntactic unit used for extracting valuable information from a longer piece of text. However, in written Thai, there are no explicit sentence markers. We proposed a deep learning model for the task of sentence segmentation that includes three main contributions. First, we integrate n-gram embedding as a local representation to capture word groups near sentence boundaries.  Second, to focus on the keywords of dependent clauses, we combine the model with a distant representation obtained from self-attention modules. Finally, due to the scarcity of labeled data, for which annotation is difficult and time-consuming, we also investigate and adapt two techniques, allowing us to utilize unlabeled data. The first one is Cross-View Training (CVT) as a semi-supervised learning technique, and the second one is a pre-trained language model (ELMo) to improve representation. In the Thai sentence segmentation experiments, our model reduced the relative error by 7.4% and 18.5% compared with the baseline models on the Orchid and UGWC datasets, respectively. We also applied our model to the task of punctuation restoration on the IWSLT English dataset. Our model outperformed the prior sequence tagging models, achieving a relative error reduction of 7.6%. Ablation studies revealed that utilizing n-gram representations was the main contributing factor for Thai, while the semi-supervised training helped the most for English.
Redesigning weakly supervised localization architectures for medical images
Authors:   , Preechakul Konpat
Published: April 2023

Point localization is a task that aims to identify the location but not the extent of an object of interest in an input image. 
A success localization is when a model predicts a point which is within the boundary of an object of interest.
This task has been successfully learnt using only image-level annotation i.e. image classification. 
This setting is known as weakly-supervised point localization.
Weakly-supervised point localization is particularly useful in medical imaging task where not only the decision of a model is required by also the explanation. The better the explanation the more useful the model is. 
Usually done with class-activation map (CAM), the precision of the localization is heavily constrained by the resolution of the feature map output from a model. 
In this thesis, we explore approaches to scale up the output feature map of a model to accommodate high-precision weakly-supervised point localization on chest x-rays.
Development of authentication-based CAPTCHA mechanism on touch screen environment
Authors:   , Nanglae Nilobon
Published: April 2023

CAPTCHA is a simple security test that was introduced to distinguish among humans and bots for decades. CAPTCHAs have been widely used on commercial sites, such as email service, and social networking sites, for protecting the system from automated software attackers. However, various techniques have been invented to break CAPTCHA, and one of these techniques is the 3rd party attacks. So, the design of CAPTCHA is unable to distinguish between human users and illegitimate human attackers. Thus, this research proposed a new type of CAPTCHA that is individually generated for an individual user. The proposed technique merges between biometrics and the user’s profile to obtain the most suitable CAPTCHA that cannot easily be broken by all intruders, even the human in the CAPTCHA farm. Besides, this proposed CAPTCHA can be used as a temporary password for every user, every login time, because of its randomness and uniqueness. The performance evaluation of this proposed technique indicates that if a user knows the full CAPTCHA, the system can determine the true user with 100% accuracy, but for the intruders, only 51.0% of the intruders would be identified as if they were the true user. Nonetheless, the bots attack must spend a very long-time solving and more failed attempts, which, in real-life working, it could be interrupted by the time limit of the system. Therefore, all bots cannot gain access as required.
Cryptosystem for textual message by using malleable neural network with secret dimensions
Authors:   , Wang Hangyi
Published: April 2023

Most of the current cryptography is based on modulo computing with predefined public and private keys. The robustness of this approach is controlled by the size of the prime divider. The encryption and decryption processes of this modulo computing are rather fast and rather robust to any attack. However, it is still possible to crack the encrypted message by using meta-heuristic algorithm, very high performance parallel machines, and also quantum computing concept. This thesis takes another approach in order to enhance the robustness of encrypted messages by deploying the structure of a feedforward neural network with augmented secret dimensions concurred by both sender and receiver. The network structure can be adjusted to make it difficult to guess. The proposed concept differs from weight synchronization and weight representation of the encrypted message. The text message is the main concern of this study. However, the proposed concept can be extended to cope with other forms of input messages. The experimental results showed the robustness of encrypted messages against attacks by using cryptanalysis. The space and time complexities of the network and process are discussed.
The effect of direct taxes on income and wealth distribution in Thailand under comprehensive income concept
Authors:   , Limteerakul Voramast
Published: April 2023

This thesis research comprises three studies, each of which investigates the inequality of income and wealth in Thailand from 1996 to 2017 and the impact of personal income tax and taxes on real estate on that inequality.  Shorrocks Index decomposition technique is applied to examine the key drivers of inequality in the country in the first two studies.  In the third study, the analysis is developed under the Heckman Selection Model to estimate the effect of personal income tax policy reform on the individual.  The overall results demonstrate that accrued capital gains from asset ownership are the main drivers of income inequality, and that more than half of the total inequality stems from entrepreneurs. Personal income tax has very limited and diminishing redistributive impact due to the small tax base and the specifics of tax policy reforms, which broaden the tax base, but reduce the tax payers’ liabilities. Tax benefits are positively correlated with income, and professionals comprise the group that receives the greatest benefit. Inequality of real estate ownership is much higher than income inequality.  The main source of inequality comes from high income households, particularly households in Bangkok Metropolis and other urban regions.  Thus, land and building tax would raise more revenue for local government and reduce income inequality more effectively than have the previous taxes on real estate. Personal income tax benefits related to or dependent on level of income should be revised and made more restrictive. Additionally, the government should emphasize policies that promote savings and investment among low and middle income groups and provide equality in financial access to small entrepreneurs in order to help them thrive in the market. Land and building tax ought to be universally applied, and any exemptions to this tax should be granted to economically vulnerable groups.
Optimal sizing of battery energy storage system with rooftop PV generation system
Authors:   , Prapanukool Chawin
Published: April 2023

With a significant growth of the rooftop photovoltaic systems (PVs) under the behind-the-meter scheme (BTMS), the battery energy storage systems (BESS) have been developed to enhance the performance of rooftop PVs in many aspects, especially the electricity charge savings. The BTMS can be typically classified into three schemes of self-consumption scheme, net-metering scheme, and net-billing scheme. Other than these schemes, the solar power purchase agreement (SPPA) has been developed to be one the most attractive business models. The SPPA is the scheme where the investors propose to directly sell an electricity from rooftop PVs with BESS to the customers without passing through the utility’s infrastructure, such as electricity meter, distribution line, etc. The proposed rates are typically performed in terms of the discount rates on Time-of-use (TOU) tariff. Therefore, this dissertation proposes a novel methodology to investigate the battery capacity, operation schedule of the BESS and SPPA discount rates for rooftop PVs under the BTMS and SPPA. The mode-based operation of the BESS was adopted and developed for self-consumption, net-metering, net-billing schemes, and SPPA. For the typical BTMS, the objective was only to minimize the electricity charge of the customers. For the SPPA, the main objective was to minimize the electricity charges of the customers while maintaining the internal rate of return of the investors. In addition, as a working example, the TOU tariff with demand charges for large general service load in Thailand was implemented with the proposed methodology to evaluate the effects of installed capacity of rooftop PVs, battery capacity, rate of excess energy and battery degradation. The result showed that the installed capacity of rooftop PVs, the rate of excess energy and the battery degradation have significant effects on the battery capacity, operation modes of the BESS and SPPA discount rates. Under the typical BTMS, it is obvious that an increase of the installed capacity of rooftop PVs will extremely increase the battery capacity and operation modes in charging and discharging modes when the reverse power flow is available with high rate of excess energy. In addition, the consideration of battery degradation will lead to an increase of battery capacity. Under the SPPA, the proposed SPPA discount rates from the investors will be constrained when the battery capacity is increased, and the installed capacity of rooftop PVs is oversized. The consideration of the battery degradation will also limit the proposed SPPA discount rates.
A model predictive control strategy based on predicted mean vote for a building HVAC system
Authors:   , Anuntasethakul Chanthawit
Published: April 2023

This thesis proposes a design of a supervisory model predictive controller for a heating-ventilation-air-conditioning (HVAC) control system.
The control objective is to minimize the operating cost and take into account of electrical load shaving and thermal comfort of users.
To ensure that thermal comfort is well regulated, we utilize the Predicted Mean Vote (PMV) as an indicator and determine an acceptable bound of a desired set-point temperature.
The control design consists of two layers, namely, a supervisory control (SC) layer and a model predictive control (MPC) layer.
For the SC layer, we explore a configuration including the choice of predesign controller, the analysis of steady-state response, and the possible range of the set-point temperature.
We incorporate the effect of set-point temperature, air velocity, outside air temperature, heat load inside zone onto the HVAC electrical power.
Then, we search for an optimal profile of the set-point temperature that minimizes a weighted sum of a total operating cost (TOC) and a thermal comfort cost (TCC).
Moreover, exploration of trade-off between TOC and TCC helps us to achieve both control objectives efficiently.
For the MPC layer, we formulate the control design with the objective of tracking the optimal set-point temperature and minimizing the control inputs.
We apply the proposed control design to a complex dynamical model of HVAC system with volumetric flow rate, electrical power of heat exchanger, and removed moisture as control variables and test with various weather conditions.
When the allowable PMV of the zone is specified within a certain comfort level, the TOC of the proposed supervisory MPC is significantly reduced compared with that of the nominal operation.
The maximum electricity demand of HVAC system is reduced and the electrical power profile is smoothly shaved.
Furthermore, the zone relative humidity is well regulated and corresponds to the operating condition of the SC layer.
A comparison of forecasting methods for rotable spare parts in a Thai low-cost airline
Authors:   , Thummathid Supannika
Published: April 2023

This research intents to compare and evaluate 3 different methods for forecasting irregular demand of aircraft spare parts by focusing on Rotable part group of Company A which is the leading low-cost airline in Thailand and operate by Airbus A320 model. Based on the demand classification, it is observed that most of the spare part demands presented an intermittent demand pattern. The forecasting methods Croston’s, Holt’s Linear and Multi-Layer Perceptron trained with Backpropagation of Neural Network Model are applied on the historical data of 36 Rotable spare parts by dividing into 2 sets which are initialization set period 60 months (January 2014 – December 2018) and test set for period 12 months (January 2019 – December 2019). The forecasting accuracy will be made by using ME, MAE and A-MAPE to evaluate the performance of the method over the test set. The results show that Multi-Layer Perceptron trained with Backpropagation of Neural Network Model outperform than other 2 methods in all forecasting accuracy measurement and the performance 81% accurate forecast when comparing with the actual observation over the test set data in 2019 for 12 months period. Therefore, from this research it concludes that Multi-Layer Perceptron trained with Backpropagation of Neural Network Model is superior alternative model over the traditional time series models and recommend to be a forecasting tool for Company A use to forecast Rotable spare part in intermittent demand pattern.
Business continuity planning for a medium-sized hotel under COVID-19 outbreak
Authors:   , Tangtanapaiboon Arunlak
Published: April 2023

Business Continuity Planning is a subjective conceptual framework prominently used in operations related to supply chain, information technology, or governmental organizations. In this research, we have applied the concept of business continuity planning to a service business during the COVID–19 outbreaks, whose aim is to determine the business continuity objective with the maximum operational tolerable period. The proposed framework has been evaluated based on the ANOVA Test of a guest’s service questionnaire of a hotel in Rayong, Thailand. We find that, by reducing business operating cost via staff working hours reduction and limiting service functions of the hotel to the minimal possible level, the hotel could still achieve the break-even point at a cost of revenue reduction. Care must be therefore taken in order to ensure the effectiveness of provided services without affecting the overall customer satisfaction. We also find that customer perception related to COVID-19 prevention procedure is very crucial and closely related to the positive customer experience during their stay. In terms of business, the hotel should also focus on other revenue streams, including the B2B selling or the provision of room services for staff containment during COVID -19 outbreaks. More importantly, even with a good business planning, the hotel still needs to intermittently revise financial plans to help maintain the business during crisis.
Experiencias del trabajo social brasileño en la garantía de los Derechos Humanos de las mujeres y del medio ambiente
Authors: Morales-Roa Edith Johanna
Published: April 2023

El Trabajo Social brasileño es una referencia para los y las trabajadoras sociales latinoamericanas debido a la defensa histórica de un Proyecto Ético Político aunado a un proyecto de sociedad que garantice la emancipación de la clase trabajadora. En este ejercicio profesional se reconoce la importancia de cumplir y ampliar los derechos desnaturalizando y enfrentando las explotaciones, dominaciones y opresiones que se viven en el sistema hetero-patriarcal-capitalista-racista y que afecta de manera diferenciada a las mujeres, a la naturaleza y a otras sujetas feminizadas. En este sentido, en Brasil, específicamente en la Universidade Estadual do Oeste de Paraná -UNIOESTE-Campus Toledo, hay diferentes experiencias que reflejan el papel del Trabajo Social en la garantía de los derechos de las mujeres y el medio ambiente. Esa labor está en continua construcción, por lo que es fundamental sistematizar algunas de sus reflexiones y propósitos para visibilizar el rol de la profesión en estas áreas y la integración entre ellas.
Espiritualidade organizacional: uma visão ampliada do ser humano em toda sua potencialidade
Authors: Pereira Adriani
Published: April 2023

Este artigo apresenta várias pesquisas internacionais e nacionais feitas sobre a espiritualidade nas organizações, como forma de contribuir para discussão e aprofundamento do tema. Traz um resgate das diversas formas de inteligência, até chegar a inteligência espiritual e posterior aproveitamento dessa inteligência no contexto organizacional denominada de espiritualidade organizacional. Aponta os muitos benefícios que as organizações podem ter ao inserir a espiritualidade no seu contexto cultural, tais como, maior satisfação, comprometimento mais profundo e resultados ampliados. Traz também algumas críticas sobre o assunto, porém essas não invalidam a sua magnitude. A pesquisa tem como cerne o ser humano visto de forma sistêmica, em rede e interconectado com tudo o que está a sua volta. Um ser que busca um significado para aquilo que faz e não apenas guiados por normas ou por comandos imputados hierarquicamente. Levando-o a perceber-se como parte da organização, onde aquilo que o beneficia, beneficiará diretamente e de forma proporcional a organização onde desempenha seu trabalho.
First successful cultivation and nutritional composition of Macrocybe gigantea in
Sri Lanka
Authors: Galappaththi Mahesh C.A. , Lu Yuan , Karunarathna Samantha C. , Wijewardena Nirosha , Karunarathna Anuruddha , Gamage Mahesh , Ediriweera Aseni Navoda
Published: April 2023

The wild edible mushroom Macrocybe gigantea is widely consumed as one of the prime seasonal delicacies in the tropical and subtropical regions of the world. In this study, M. gigantea was identified through morphological and phylogenetic analyses. Spawn production and cultivation parameters of M. gigantea were investigated for the first time in Sri Lanka. The mycelial growth was observed in potato dextrose agar medium, while paddy grains were used for spawn production. A mixture containing rubber sawdust (100 kg), rice bran (18 kg), CaCO3 (2.5 kg), gypsum (1 kg), and MgSO4 (0.35 kg) was tested as a substrate for colonization bags. In addition, gene sequence-data, proximate analysis, energy value, and mineral elements of cultivated M. gigantea were studied. Mycelia in mushroom growth bags were cultivated under the temperature
range of 27–30 ℃ and relative humidity of 60 %. Three weeks after inoculation, the primordia appeared and it ook four additional days until the occurrence of young fruit bodies. A second flush was harvested 3 weeks after the first. Proximate analysis, energy value and mineral element analysis were recorded as 85.3 % moisture, 0.8 % ash, 1.6 % fat, 2.3 % protein, 10.0 % carbohydrate, 0.28 % potassium (K), 0.00064 % iron (Fe), 0.0024 % sodium (Na), and energy 63.6 kcal/100g. This study provides valuable information concerning the cultivation and nutritional composition of M. gigantea in Sri Lanka.
Farming System and Sustainable Agriculture
Authors: Patra Alok Kumar
Published: April 2023

"The modern agriculture has raised several ecological issues, and put a question mark on the sustainability of various agricultural practices with high input use. Since resources on the earth are limited, there is a need to utilise these resources most judiciously and efficiently to harmonise ecology with prosperity. Now the prime focus of farmers, researchers and policymakers goes to sustainable development through the sustainable farming systems. In this context, a subject on 'Farming System and Sustainable Agriculture' has been recommended by the ICAR for the students of agriculture & allied sciences. The present book is written as per the latest syllabus on the subject, which would be useful to the undergraduate students. This book will be helpful to the students preparing for various competitive examinations. The common people who observe farming and its development with an interest would also find it worth reading."
Frontiers of Transdisciplinary Knowledge Management in Digital Humanities
Authors: Tzavaras Panagiotis , Karamanoli Eirini
Published: April 2023

The 4th Industrial Revolution, or 2nd digital revolution, has brought about drastic changes in the economy and society, as technology develops at a rapid pace. Digital humanities take advantage of this technological evolution to uncover new ways to approach the humanities and the social sciences. In particular, the 4IR has enabled the development of new technologies that are facilitating the integration of virtual and physical environments in different digital humanities sectors, such as arts and culture. In addition, it helped digital humanities scholars to analyse massive amounts of data and apply machine learning algorithms to identify patterns, uncover new insights and approach cultural, historical, and literary phenomena in a more comprehensive and differentiated way. In the context of 4IR, the Semantic Web plays a crucial role in enabling machines and humans to access and use the vast amount of data generated by advanced technologies, by providing a common language and structure for data exchange and integration.
Diagnostic value of homogenous delayed enhancement in contrast-enhanced computed tomography images and endoscopic ultrasound-guided tissue acquisition for patients with focal autoimmune pancreatitis
Authors: Yonamine Keisuke , Koshita Shinsuke , Kanno Yoshihide , Ogawa Takahisa , Kusunose Hiroaki , Sakai Toshitaka , Miyamoto Kazuaki , Kozakai Fumisato , Anan Hideyuki , Okano Haruka , Oikawa Masaya , Tsuchiya Takashi , Sawai Takashi , Noda Yutaka , Ito Kei
Published: April 2023

Background/Aims: We aimed to investigate (1) promising clinical findings for the recognition of focal type autoimmune pancreatitis (FAIP) and (2) the impact of endoscopic ultrasound (EUS)-guided tissue acquisition (EUS-TA) on the diagnosis of FAIP.Methods: Twenty-three patients with FAIP were involved in this study, and 44 patients with resected pancreatic ductal adenocarcinoma (PDAC) were included in the control group.Results: (1) Multivariate analysis revealed that homogeneous delayed enhancement on contrast-enhanced computed tomography was a significant factor indicative of FAIP compared to PDAC (90% vs. 7%, p=0.015). (2) For 13 of 17 FAIP patients (76.5%) who underwent EUS-TA, EUS-TA aided the diagnostic confirmation of AIPs, and only one patient (5.9%) was found to have AIP after surgery. On the other hand, of the six patients who did not undergo EUS-TA, three (50.0%) underwent surgery for pancreatic lesions.Conclusions: Homogeneous delayed enhancement on contrast-enhanced computed tomography was the most useful clinical factor for discriminating FAIPs from PDACs. EUS-TA is mandatory for diagnostic confirmation of FAIP lesions and can contribute to a reduction in the rate of unnecessary surgery for patients with FAIP.
NCCN Guidelines® Insights: Non–Small Cell Lung Cancer, Version 2.2023
Authors: Ettinger David S. , Wood Douglas E. , Aisner Dara L. , Akerley Wallace , Bauman Jessica R. , Bharat Ankit , Bruno Debora S. , Chang Joe Y. , Chirieac Lucian R. , DeCamp Malcolm , Dilling Thomas J. , Dowell Jonathan , Durm Gregory A. , Gettinger Scott , Grotz Travis E. , Gubens Matthew A. , Hegde Aparna , Lackner Rudy P. , Lanuti Michael , Lin Jules , Loo Billy W. , Lovly Christine M. , Maldonado Fabien , Massarelli Erminia , Morgensztern Daniel , Ng Thomas , Otterson Gregory A. , Patel Sandip P. , Patil Tejas , Polanco Patricio M. , Riely Gregory J. , Riess Jonathan , Schild Steven E. , Shapiro Theresa A. , Singh Aditi P. , Stevenson James , Tam Alda , Tanvetyanon Tawee , Yanagawa Jane , Yang Stephen C. , Yau Edwin , Gregory Kristina M. , Hughes Miranda
Published: April 2023

The NCCN Guidelines for Non–Small Cell Lung Cancer (NSCLC) provide recommendations for management of disease in patients with NSCLC. These NCCN Guidelines Insights focus on neoadjuvant and adjuvant (also known as perioperative) systemic therapy options for eligible patients with resectable NSCLC.
A blockchain-based traceable and secure data-sharing scheme
Authors: Wang Zhenqi , Guan Shaopeng
Published: April 2023

The traditional data-sharing model relies on a centralized third-party platform, which presents challenges such as poor transaction transparency and unsecured data security. In this article, we propose a blockchain-based traceable and secure data-sharing scheme. Firstly, we designed an attribute encryption-based method to protect data and enable fine-grained shared access. Secondly, we developed a secure data storage scheme that combines on-chain and off-chain collaboration. The InterPlanetary File System (IPFS) is used to store encrypted data off-chain, and the hash value of encrypted data is stored on the blockchain. To improve data security, elliptic curve cryptography (ECC) encryption is performed before the hash value is stored. Finally, we designed a smart contract-based log tracking mechanism. The mechanism stores data sharing records on the blockchain and displays them in a visual form to meet the identity tracking needs of both data sharing parties. Experimental results show that our scheme can effectively secure data, track the identities of both parties sharing data in real-time, and ensure high data throughput.
THE SANITARY SERVICE OF SEMINARIANS OF THE SEMINARY IN PRZEMYŚL DURING THE FIRST MONTHS OF THE GREAT WAR (1914–1915)
Authors: DYRDA Paweł
Published: April 2023

The subject of this article is the fate of the seminarians of the Przemyśl seminary during the battles for the Przemyśl fortress in 1914–15. In the face of the approaching Russian army, they decided to serve as orderlies in military hospitals. This service was very demanding, due to extremely difficult sanitary conditions, and shortages of food, medicines, dressing materials, and so on. Information about the life and work of future priests during successive sieges of the fortress was included in the Chronicle of the Przemyśl Seminary. Lay people who stayed in the fortress during the siege also wrote numerous memoirs and diaries describing the work of seminarians and priests. Thanks to these materials, it is possible to learn how the seminary trained Roman Catholic clergy for the war, the medical preparation that was offered by the standard seminary training program, and, finally, how the seminarians proved themselves in the hour of trial.
RESILIENCE IN THE CONTEXT OF THE SOCIO-POLITICAL SITUATION OF YOUNG ADULTS IN EUROPE
Authors: FRANCZOK-KUCZMOWSKA Agnieszka , SUPERSON Barbara
Published: April 2023

As the epidemiological statistics for anxiety disorders and mood disorders show, adult mental health has declined in recent decades, making the life of the average person more prone to adversity. Several worldwide sociocultural changes require people to be more flexible and adaptive to cope with modern life. Therefore, people’s ability to cope with daily stress and care for their well-being remain important issues. An essential factor in enhancing and protecting mental health is resilience as an inner source and the capacity to face adversity. Resilience can be described as the competence to stay flexible and adapt to changing environments, even in an unfavorable habitat. As a capability, despite its importance, it is mostly described and explored in childhood populations, leaving a space for further investigations focusing on adults. The article aims to present some findings regarding resilience among young adults, as well as to emphasize the importance of resilience in adult life.
FOSTERING STUDENTS’ ADAPTABILITY THROUGH SELF-EFFICACY: A CASE STUDY OF UNDERGRADUATE UNIVERSITY STUDENTS
Authors: PIETLUCH Arkadiusz
Published: April 2023

The present study was initiated to verify whether a curriculum enhanced with efficacy-building techniques might foster students’ adaptation to an online study environment during the COVID-19 pandemic. Inductive thematic analysis was applied to analyze interview data obtained from 32 sophomores pursuing a degree in English as a Foreign Language. Three main themes were identified: students voiced their concerns regarding the lack of online literacy, symptoms of cognitive overload, and the absence of meaningful relationships. The planned intervention partially facilitated the students’ transition process: growing efficacy among the sample was linked to more proper attribution, less negative affect, and the development of individual and shared regulation mechanisms.
AN APPROACH TO PREDICT CUSTOMER SATISFACTION WITH CURRENT PRODUCT QUALITY
Authors: SIWIEC Dominika , PACANA Andrzej
Published: April 2023

Improving product quality is still a challenge; therefore, this article aims to propose an approach to predict customer satisfaction. We implemented the following techniques: the SMART(-ER) method, brainstorming (BM), a Likert-scale survey, the Pareto rule, the WSM method, and the Naive Bayes Classifier. Customer expectations were obtained as part of the survey research. Based on these, we determined customers’ satisfaction with the current quality of the criteria and the weights of these criteria. We then applied the Pareto rule, the WSM method, and the Naive Bayes Classifier. In the proposed approach, it was predicted that current product quality is not very satisfactory to customers; that conditioned the need for improvement actions. The originality of the study is the ability to predict customer satisfaction while taking into account the weights of this criterion. The proposed approach can be used for any product.
Physical Characteristics of Biocomposite Edible Film Based on Starch and Nanochitosan with the Addition of Oil and Acids: A Review
Authors: Fadilla Feby Nurul , Rochima Emma , Pratama Rusky Intan , Rostini Iis
Published: April 2023

Edible film is a type of edible packaging in the form of a thin layer to protect food products and can be decomposed naturally so that it can be an alternative to the use of plastic packaging. Edible film components consist of hydrocolloids (polysaccharides, proteins), lipid, or a combination of these materials with or without the addition of plasticizers. The physical characteristics of edible film that are commonly used are thickness, tensile strength, elongation, water vapor transmission rate, and solubility. Several studies have shown that the addition of fish oil as lipid to starch and nano-chitosan edible film can improve the physical characteristics of the film. The addition of a greater concentration of fish oil can increase the thickness value and decrease the water vapor transmission rate and water solubility of the edible film.
Overcoming the Transport Limitations of Photopolymer‐Derived Architected Carbon
Authors: Baglo Kjetil , Sauermoser Marco , Lid Markus , Paschke Thomas , Afif Abdulla Bin , Lunzer Markus , Flaten Andreas , Steinert Martin , Bock Robert , Torgersen Jan
Published: April 2023

Photopolymer derived carbon grows in popularity, yet the range in available feature sizes is limited. Herein, the focus is on expanding the field to low surface to volume ratio (SVR) structures. A high temperature acrylic photopolymerizable precursor with FTIR and DSC is described and a thermal inert‐gas treatment is developed for producing architected carbon in the mm scale with SVR of 1.38×10−3 µm−1. Based on thermogravimetric analysis and mass spectrometry, two thermal regimes with activation energies of ≈79 and 169 kJ mol−1 are distinguished, which is reasoned with mechanisms during the polymer's morphologic conversion between 300 and 500 °C. The temperature range of the major dimensional shrinkage (300–440 °C, 50%) does not match the range of the largest alteration in elemental composition (440–600 °C, O/C 0.25–0.087%). The insights lead to an optimized thermal treatment with an initial ramp (2 °C min−1 to 350 °C), isothermal hold (14 h), post hold ramp (0.5 °C min−1 to 440 °C) and final ramp (10 °C min−1 to 1000 °C). The resulting carbon structures are dimensionally stable, non‐porous at the µm scale, and comprise an unprecedented variation in feature sizes (from mm to µm scale). The findings shall advance architected carbon to industrially relevant scales.
Microwave absorption properties and quantum chemistry of organic sulfur compounds in coal
Authors: Ge Tao , Wang Yuqing , Xu Jingyao , Liu Dinghao , Wei Yulu , Wang Zhaohui
Published: April 2023

The microwave absorption properties of dielectrics determine the promotion degree of microwave energy to chemical reaction. The wave‐absorbing characteristics of organic sulfur compounds in high‐sulfur coking coal need to be studied to improve the efficiency of microwave desulfurization of coal. In this study, the imaginary part of complex dielectric constants (ε′′) and dielectric loss tangent (tanσ) of benzene mercaptan, difurfuryl disulfide, and benzothiophene were characterized. The dipole moment, molecular configuration, and frontier molecular orbital energy of organic sulfur compounds were simulated and calculated under the different external energy fields. The migration law of mercaptan, sulfide, and thiophene in coal in microwave field were analyzed. The results show that theε'′and tanσof benzothiophene slightly changed with the change in microwave frequency in the frequency range of 500–2500 MHz, and the microwave absorption properties are weaker than those of benzene mercaptan and difurfuryl disulfide. Therefore, difurfuryl disulfide and benzene mercaptan molecules are more active in the microwave field than benzothiophene. The sulfur components in benzene mercaptan and difurfuryl disulfide can dissociate in the form of small inorganic sulfur molecules of carbon sulfides and disulfides, respectively. After microwave irradiation, the relative content of mercaptan and thioether in coal was decreased, whereas the relative content of thiophene remained almost unchanged.
Mattic epipedon fragmentation strengthened the soil infiltration capacity of a hillside alpine meadow on the Qinghai‐Tibetan Plateau
Authors: Liu Yi‐Fan , Fang Hui , Leite Pedro A. M. , Liu Yu , Zhao Jingxue , Wu Gao‐Lin
Published: April 2023

Degradation of hillside alpine meadow ecosystems is a widespread problem that usually results in the fragmentation of the mattic epipedon (ME). The mattic epipedon plays a well‐known role in the hydrological cycle of alpine ecosystems due to its high water‐holding capacity. However, little is known about how ME fragmentation alters soil infiltrability—a key soil property that influences runoff and erosion processes as well as soil moisture dynamics. To address this issue, we contrasted the infiltration rates and soil and plant characteristics of preserved meadow patches (with full ME) and patches at two stages of ME fragmentation, namely, half ME and without ME. Our results showed that mattic epipedon fragmentation reduced aboveground plant biomass (mainly of sedges) by 58.6–65.6 g m−2 and root biomass by 5,643–10,054 g m−2. Soil compressive strength (11.6 kg cm−2) and total soil porosity (52%) of fragmented meadow patches without ME were significantly lower than in those with half (17.9 cm−2 and 62%, respectively) or full ME (31.7 cm−2 and 62.5%, respectively). In contrast, non‐capillary porosity and aggregate stability slightly increased with fragmentation and were highest at patches without ME. Importantly, soil infiltration rates in hillside alpine meadows greatly increased as a result of mattic epipedon fragmentation. Initial infiltration rates were approximately 10 and 20 times higher at patches with half ME and without ME (177 mm h−1 and 326 mm h−1, respectively) than at patches with the full ME (17 mm h−1). Moreover, steady‐state infiltration rates were approximately 6 and 9 times higher at patches with half ME and without ME (60 mm h−1 and 88 mm h−1, respectively) than at patches with the full ME (17 mm h−1). Overall, mattic epipedon fragmentation improved soil infiltrability by changing the soil and plant characteristics. These findings suggest that mattic epipedon fragmentation will lower runoff maintenance and have drastic effects on the water provisioning function of hillside alpine meadows on the Qinghai‐Tibetan Plateau.
Nipple‐areola‐complex preservation and obesity—Successful in stages
Authors: Daly Lauren , Tsai Jacqueline , Stone Kim , Wapnir Irene , Karin Mardi , Wan Derrick , Momeni Arash
Published: April 2023

Background

The superiority of nipple‐sparing mastectomy (NSM) on breast aesthetics and patient‐reported outcomes has previously been demonstrated. Despite 42.4% of adults in the United States being considered obese, obesity has been considered a contraindication to NSM due to concerns for nipple areolar complex (NAC) malposition or ischemic complications. This report investigates the feasibility and safety of a staged surgical approach to NSM with immediate microsurgical breast reconstruction in the high‐risk obese population.

Methods

Only patients with a body mass index (BMI) of >30 kg/m2 who underwent bilateral mastopexy or breast reduction for correction of ptosis or macromastia (stage 1), respectively, followed by bilateral prophylactic NSM with immediate microsurgical breast reconstruction with free abdominal flaps (stage 2) were included in the analysis. Patient demographics and surgical outcomes were analyzed.

Results

Fifteen patients with high‐risk genetic mutations for breast cancer with a mean age and BMI of 41.3 years and 35.0 kg/m2, respectively, underwent bilateral staged NSM with immediate microsurgical breast reconstruction (30 breast reconstructions). At a mean follow‐up of 15.7 months, complications were encountered following stage 2 only and included mastectomy skin necrosis (5 breasts [16.7%]), NAC necrosis (2 breasts [6.7%]), and abdominal seroma (1 patient [6.7%]) all of which were considered minor and neither required surgical intervention nor admission.

Conclusions

Implementation of a staged approach permits NAC preservation in obese patients who present for prophylactic mastectomy and immediate microsurgical reconstruction.