bluuebunny/crossref_metadata_2025 huggingface dataset:
Tác động của trách nhiệm xã hội của doanh nghiệp đến lòng trung thành của khách hàng: Bằng chứng thực nghiệm tại các hãng hàng không giá rẻ ở Thành phố Hồ Chí Minh
Authors: Vuong Bui Nhat
Published: March 2023

Mục đích của nghiên cứu này là khám phá mối quan hệ giữa trách nhiệm xã hội của doanh nghiệp và lòng trung thành của khách hàng thông qua niềm tin thương hiệu và sự yêu thích thương hiệu. Mô hình nghiên cứu đã được đề xuất dựa vào lý thuyết bộ ba cốt lõi bền vững và lý thuyết trao đổi xã hội. Dữ liệu đã được thu thập từ 305 khách hàng trên 18 tuổi đã từng sử dụng dịch vụ của hãng hàng không giá rẻ (Vietjet Air và Pacific Airlines) và đang sống tại Thành phố Hồ Chí Minh. Mô hình hóa phương trình cấu trúc bình phương nhỏ nhất từng phần đã được sử dụng để phân tích dữ liệu. Kết quả nghiên cứu cho thấy rằng trách nhiệm xã hội của doanh nghiệp giúp gia tăng lòng trung thành của khách hàng. Thêm vào đó, mối quan hệ tích cực này đã được trung gian bán phần bởi niềm tin thương hiệu và sự yêu thích thương hiệu. Nghiên cứu cũng đã đề xuất một số hàm ý quản trị cho các nhà quản lý tại các hãng hàng không giá rẻ thực hiện các hoạt động trách nhiệm xã hội của doanh nghiệp để cải thiện lòng trung thành của khách hàng.
Muhammadiyah Laka Tunggale
Authors: Sofanudin Aji
Published: March 2023

Pimpinan Wilayah Muhammadiyah dan Aisyiah Jawa Tengah akan melangsungkan Musyawarah Wilayah (Muswil) periode muktamar 48 di kota Tegal, 3-5 Maret 2023. Muswil merupakan forum permusyawaratan tertinggi pimpinan Muhammadiyah dan Aisyiah wilayah. Kegiatan pra muswil yakni muspimwil (musyawarah pimpinan wilayah) juga telah dilaksanakan di Tegal, 28 Januari 2023 yang lalu. Tegal menjadi destinasi utama agenda penting Muhammadiyah dan Aisiyah Jawa Tengah tahun 2023 ini. Muswil kali ini mengusung tagline “Muhammadiyah laka tunggale” yang mengandung makna Muhammadiyah tidak ada duanya atau Muhammadiyah sangat hebat.
A survey on cyber security and artificial intelligence, as well as IoT Object Authentication for Cyber Security
Authors: Vishwanath Manish
Published: March 2023

There is a wide range of interdisciplinary intersections between cyber security and artificialintelligence (AI). On one hand, AI technologies, such as deep learning, can be introduced into cyber securityto construct smart models for implementing malware classification and intrusion detection and threatingintelligence sensing. Based on the above two aspects, we review the intersection of AI and cyber security.First, we summarize existing research efforts in terms of combating cyber-attacks using AI, includingadopting traditional machine learning methods and existing deep learning solutions. Cyber Security is a bigconcern which needs to be discussed loquaciously. IoT introduces comfort as well as more insecurities, butthis idea elaborates how IoT itself can provide Security and facilitate the convenience with which we canuse the internet. It broadens our perspective of how simple things in our daily life can be interconnectedthrough internet and ease out our lives. We can also say that making internet an artificially intelligent systemis actually an effortless way of living life.
Autonomous Systems and Reliability Assessment: A Systematic Review
Authors: Vishwanath Manish
Published: March 2023

The advancement of technology has heralded novel computing devices and gadgets like self-driving cars, IoT devices,and autonomous systems. These advancements required high computational demand in achieving its goals. In matching the highcomputational demand of these new technologies, machine learning, parallelism, multicore processing and scaling are some of theapproaches and techniques put in place. However, there is a pressure on the architectural development of recent computing devices asthe traditional transistors seem to be fast outgrown. This article examines the reliability of autonomous systems using the PRISMAapproach. Autonomous systems are systems that can fully operate and perform operations (computational or otherwise) with minimalhuman intervention.
Experiment ended
Authors: Evans Isabelle
Published: March 2023

AI in Healthcare A Costly and Ethical Debate
Forcing and Ending: Many lives of Settler Colonialism
Authors: Sakshi
Published: March 2023

A book review of Settling for Less (Princeton University Press).
Cyber Security, Artificial Intelligence, Data Protection & Big Data and Security
Authors: Vishwanath Manish
Published: March 2023

Reconciling the differences between data protection, artifcial intelligence (AI) andcyber security will be complex and needs to be fnely balanced. More problematic is the balancebetween the free fow of personal data and the economic benefts this brings, with the need to protectthat data. This book advocates for fnding ways to better balance between these competing issues,particularly when smart home devices enter the market and are used within the home and offce.Finding this balance is a formidable challenge and it may never be able to be achieved. This isbecause some in the community view our personal data as being lost to the large corporations thattrade and use that data. In the contemporary world, this is becoming even more challenging, withmany state actors going it alone, looking after their own sovereign needs. This Chapter discussessome of the challenges faced by state actors in relation to having to balance their sovereign needswhile establishing data protection, AI and cyber security law that, is effective. The resulting effecthas seen three competing forces emerge.
Zat gizi makro
Authors: SARI MELYANA
Published: March 2023

Gizi adalah proses suatu organisme menggunakan makanan yang dikonsumsi secara normalmelalui digesif, absorpsi, transportasi, penyimpanan, metabolisme, dan pengeluaran zat-zat yang tidak diperlukan oleh tubuh untuk mempertahankan kehidupan, pertumbuhan,menjalankan fungsi normal dari organ tubuh dan menghasilkan energi (Putra, 2013).Zat Gizi Makro adalah makanan utama yang membina tubuh dan memberi energi. Zat gizi makrodibutuhkan dalam jumlah besar dengan satuan gram (g). Zat gizi makro terdiri ataskarbohidrat, lemak, dan protein (Kuspriyanto Susilowati, 2016).
A comparison of analytical methods from raw ion mobility measurements to illness classification
Authors: Vishwanath Manish
Published: March 2023

Ion mobility spectrometry (IMS) is a technology for the detection of volatile compounds in the air ofexhaled breath that is increasingly used in medical applications. One major goal is to classify patientsinto disease groups, for example diseased versus healthy, from simple breath samples. Raw IMSmeasurements are data matrices in which peak regions representing the compounds have to beidentified and quantified. A typical analysis process consists of pre-processing and peak detection insingle experiments, peak clustering to obtain consensus peaks across several experiments, andclassification of samples based on the resulting multivariate peak intensities. Recently severalautomated algorithms for peak detection and peak clustering have been introduced, in order toovercome the current need for human-based analysis that is slow, subjective and sometimes notreproducible. We present an unbiased comparison of a multitude of combinations of peak processingand multivariate classification algorithms on a disease dataset. The specific combination of thealgorithms for the different analysis steps determines the classification accuracy, with the encouragingresult that certain fully-automated combinations perform even better than current manual approaches.
Differential expression of HIGD1A in colorectal cancer.
Authors: Mamoor Shahan
Published: March 2023

Cancer is a leading cause of death and colorectal cancer is among the most lethal cancers (1, 2). We mined public and published microarray datasets (3, 4) to determine in an unbiased fashion and at the level of the transcriptome genes most differentially expressed in the primary tumors of patients with colorectal cancer (CRC). We found significant differential expression of the gene encoding HIG1 hypoxia inducible domain family member 1A, HIGD1A, when comparing colorectal tumors to the tissue of origin, the colon. HIGD1A mRNA was present at significantly higher quantities in tumors of the colon as compared to normal colorectal tissue. Analysis of human survival data revealed that expression of HIGD1A in rectal tumors was correlated with overall survival in patients with rectal cancer. HIGD1A expression changes may be important for the initiation or progression of human CRC.
Tinjauan pustaka zat gizi makro
Authors: Ashilah Naila
Published: March 2023

Hubungan zat gizi makro terhadap remaja
KALKULUS 1
Authors: Malik Rahmaniah , Bakhri Syamsul
Published: March 2023

Kalkulus adalah salah stau topik bahasan dalam matematika, yang memiliki beragam penerapan dalam kehidupan sehari-hari. Dalam bidang Fisika, Konsep Kalkulus banyak diterapkan untuk menyelesaikan perhitungan mekanika, Dalam bidang Ekonomi, Kalkulus digunakan unutk menentukan biaya marginal, dan masih banyak lagi penggunaan konsep kalkulus dalam bidang lainnya. Buku ini sangat bermanfaat bagi siapapun yang ingin mengetahui lebih mendalam tentang Konsep Kalkulus, kjususnya tentang Fungsi, Limit Fungsi, dan Turunan. Bahkan dapat menjadi pegangan dalam Perhitungan Statistika, Teori Peluang, Ekonomi, Konsep Mekanika dalam bidang Fisika, dan bidang lainnya yang membutuhkan perhitungan untuk penyelesaian permasalahannya
Predicting HBV, HCV, and HIV Seroprevalence Using Data Mining Technologies Based on National Blood of Addis Abeba, Ethiopia
Authors: Vishwanath Manish
Published: March 2023

Recent advancements in communication technologies, on the one hand, and computer hardware and databasetechnologies, on the other hand, have made it easy for organizations to collect, store and manipulate massive amounts of data. As thevolume of data increases, the proportion of information in which people could understand decreases substantially. The applications oflearning algorithms in knowledge discovery are promising and they are relevant area of research offering new possibilities andbenefits in real-world applications such as blood bank data warehouse. The availability of optimal blood in blood banks is a criticaland important aspect in a Blood transfusion service. Blood banks are typically based on a healthy person voluntarily donating bloodused for transfusions.
Digital Business and Business Model
Authors: Matondang Ryan Nathanael
Published: March 2023

Kata E-commerce merupakan singkatan dari kata electronic dan commerce. Secara singkat arti dari e-commerce adalah perdagangan elektronik. Namun jika diartikan lebih jauh e-commerce bisa berarti segala kegiatan perdagangan yang meliputi proses pemasaran hingga distribusi barang atau jasa yang dilakukan secara online atau melalui jaringan elektronik. E-commerce menyediakan suatu kemudahan untuk menjual dan membeli produk serta informasi melalui internet atau sarana lainnya tanpa terbatas oleh area geografis.
Transport phenomena, equations and numerical methods v2021
Authors: Pudjaprasetya Sri Redjeki
Published: March 2023

This book offers a preliminary overview of transport phenomena. Topics covered are the basic introduction on several aspects of heat transfer, mass transfer, and fluid mechanics, focusing on issues arising from conservation laws. Conservation laws arise when some (physical) quantity is conserved, for example, mass or momentum. Thus they are frequently encountered in a wide range of scientific and engineering fields. Conservation laws when expressed in terms of partial differential equations, they are mostly non-linear, and often they also admit discontinuous shock wave solutions. In applications, shock wave solutions may be found as bores in rivers, sonic boom, or traffic jam. This book contains a comprehensive coverage of numerical techniques and analysis, as well as theoretical development, which is vital to the understanding and implementation of applications. This book would be suitable for advanced undergraduate students in mathematics and computational sciences.
Differential expression of HSP90AA1 in colorectal cancer.
Authors: Mamoor Shahan
Published: March 2023

Cancer is a leading cause of death and colorectal cancer is among the most lethal cancers (1, 2). We mined public and published microarray datasets (3, 4) to determine in an unbiased fashion and at the level of the transcriptome genes most differentially expressed in the primary tumors of patients with colorectal cancer (CRC). We found significant differential expression of the gene encoding heat shock protein 90 alpha family class A member 1, HSP90AA1, when comparing colorectal tumors to the tissue of origin, the colon. HSP90AA1 mRNA was present at significantly higher quantities in tumors of the colon as compared to normal colorectal tissue. Analysis of human survival data revealed that expression of HSP90AA1 in rectal tumors was correlated with recurrence-free survival in patients with rectal cancer. HSP90AA1 expression changes may be important for the initiation or progression of human CRC.
Zat Gizi Makro
Authors: Ashilah Naila
Published: March 2023

Zat gizi makro terdiri dari karbohidrat,lemak,dan protein
Chronic pain: a unifying theory of mechanism
Authors: Macionis Valdas
Published: March 2023

This article presents a novel practical insight into the continuing debate on the origin and mechanism of chronic pain. The paper hypothesizes that there is a common neuropathic etiology of all types of general chronic pain and that transition of acute to chronic pain involves development (or aggravation) of peripheral compressive proximal neural lesion. Proposed is a cyclic mechanism of dynamic nerve compression. Intermittent nature of proximal neural damage is postulated to be essential in maintaining nociceptive sensitization-driven chronic pain. Hypothesis-based introduction of a vicious cycle of chronic pain and explanation of persistent pain in conditions such as spinal cord injury, neuroma, and overlapping pain should stimulate relevant research. This article encourages diagnostic alertness to compressive proximal neural lesions, which are often misdiagnosed in chronic pain patients.
Implementation of a Defense in Depth Strategy to Protect Critical Infrastructure Industrial Control Systems
Authors: Vishwanath Manish
Published: March 2023

The goal of this communication is to examine the implementation of defense in depth strategy to secure the industrialcontrol systems (ICS) from threats, hackers, vandals and other ones that can damage the critical infrastructures (gas transportationnetwork, power transmission network, power generation, power distribution grids, air traffic, petrochemical industries, rail traffic,military industries) and others big infrastructures that affect large number of persons and security of nations [1]. The defense in depthconcept ensures the physical access protection of the infrastructure, using network access control system (NAC) and traditionalsecurity measures, and implements policies and procedures that deal training and cybersecurity awareness programs, risk assessment(analyzing and documenting), and the plan of security. The philosophy of defense in depth uses also the IT technologies in order toensure separation and segmentations of the networks to the VLANs, demilitarized zones, VPN, using firewalls, switch and routers.The hardening of different systems installed like routers, firewalls, switches and other devices on the network such as SCADA serversis a very sensitive operation of defense in depth.
Image Analysis for Mango Fruit Defect Identification and Maturity Detection
Authors: Vishwanath Manish
Published: March 2023

The image processing and computer vision systems have been widely used for identification, classification, grading andquality evaluation in the agriculture area. Defect identification and maturity detection of mango fruits are challenging task for thecomputer vision to achieve near human levels of recognition. The proposed framework is useful in the supermarkets and can beutilized in computer vision for the automatic sorting of fruits from a set, consisting of different kind of fruits. The objective of thiswork is to develop an automated tool, which can be capable of identifying defect and detect maturity of mango fruits based on shape,size and color features by digital image analysis. MATLAB have been used as the programming tool for identification andclassification of fruits using Image Processing toolbox. Proposed method can be used to detect the visible defects, stems, size andshape of mangos, and to grade the mango in high speed and precision.
Cheapest scientific material ever!
Authors: Vuong Quan-Hoang
Published: March 2023

This astrophysicist was clearly praising the valuable image provided by the famous, and hideously expensive James Webb space telescope. The mentioned scientific material introduced to the community is the image below.
Emotion Regulation and Choice of Bilateral Mastectomy for the Treatment of Unilateral Breast Cancer
Authors: Zhang Jin-Xiao , Kurian Allison , Jo Booil , Nouriani Bita , Neri Eric , Gross James , Spiegel David
Published: March 2023

Background: There has been steadily increasing use of bilateral mastectomy (BMX) in the treatment of primary breast cancer (BC). In this study, we utilized functional magnetic resonance imaging (fMRI) to examine the influence of emotion regulation on the decision of newly diagnosed BC patients to choose BMX rather than non-BMX treatments. Methods: We recruited 123 women with unilateral BC, 61 of whom received BMX and 62 of whom received non-BMX treatments, and 39 healthy controls. While participants were in the fMRI scanner, we showed them BC-related and non-BC negative images. In one condition they were instructed to watch the images naturally. In another they were instructed to regulate their negative emotion. We compared the fMRI signal during these conditions throughout the brain.Results: With non-BC negative images as the baseline, BC patients showed greater self-reported reactivity and neural reactivity to BC-related images in brain regions associated with self-reflection than did controls. Among the BC patients, the BMX group showed weaker activation in prefrontal emotion regulation brain regions during emotion regulation than did the non-BMX group.Conclusions: BC patients are understandably emotionally hyper-reactive to BC-related stimuli and those who ultimately received BMX experience more difficulty in regulating BC-related negative emotion than non-BMX BC patients. These findings offer neuropsychological evidence that difficulty in managing anxiety related to the possibility of cancer recurrence is a factor in surgical treatment decision-making and may be an intervention target with the goal of strengthening the management of cancer-related anxiety by non-surgical means.
The Sense in Senseless Violence: Male Reproductive Strategy and the Modern Sexual Marketplace as Contributors to Violent Extremism
Authors: Lindner Miriam
Published: March 2023

Mass shooters, violent extremists, and terrorists, who are overwhelmingly male, exhibit misogynistic attitudes and a history of violence against women. Over the past few years, incels (“involuntary celibates”) have gathered in online communities to discuss their frustration with sexual/romantic rejection, espouse male supremacist attitudes, and justify violence against women and men who are more popular with women. Despite the link between misogyny and mass violence, and the recent emergence of online misogynistic extremism, theories and empirical research on misogynistic extremism remain scarce. I posit that the unique interaction between evolved male psychology, the dynamics of the sexual marketplace, and modern technologies create an ecology in which incel beliefs can thrive and make violence attractive. I show how individual factors, particularly low status, and social forces, such as a high degree of status inequality, female empowerment, and the ease of coordination through social media, give rise to misogynistic extremism.
DEEP LEARNING FOR MODELING HUMAN OBJECT RECOGNITION AND FACIAL PERCEPTION
Authors: Hügernuffke Floren
Published: March 2023

Deep learning has revolutionized the field of artificial intelligence, enabling machines to learn from large datasets and perform complex tasks such as object recognition and facial perception. In recent years, there has been significant progress in developing deep learning models for these tasks. This paper discusses the potential of deep learning in object recognition and facial perception, two critical areas of computer vision. The first part of the paper focuses on deep learning for object recognition, discussing the development of models that can detect and classify objects in images and videos. The second part of the paper focuses on deep learning for facial perception, discussing the development of models that can detect and analyze facial expressions, emotions, and features. The paper also discusses the challenges and limitations of deep learning models, including their dependence on large datasets and the need for interpretability. Finally, we explore the potential applications of deep learning in fields such as healthcare, security, and entertainment.
Measures of metacognitive efficiency across cognitive models of decision confidence
Authors: Rausch Manuel , Hellmann Sebastian , Zehetleitner Michael
Published: March 2023

Meta-d′/d′ has become the quasi-gold standard to quantify metacognitive efficiency because meta-d′/d′ was developed to control for discrimination performance, discrimination criteria, and confidence criteria even without the assumption of a specific generative model underlying confidence judgments. Using simulations, we demonstrate that meta-d′/d′ is not free from assumptions about confidence models: Only when we simulated data using a generative model of confidence according to which the evidence underlying confidence judgements is sampled independently from the evidence utilized in the choice process from a truncated Gaussian distribution, meta-d′/d′ was unaffected by discrimination performance, discrimination task criteria, and confidence criteria. According to five alternative generative models of confidence, there exist at least some combination of parameters where meta-d′/d′ is affected by discrimination performance, discrimination criteria and confidence criteria. A simulation using empirically fitted parameter sets showed that the magnitude of the correlation between meta-d′/d′ and discrimination performance, discrimination task criteria, and confidence criteria depends heavily on the generative model and the specific parameter set and varies between negligibly small and very large. These simulations imply that a difference in meta-d′/d′ between conditions does not necessarily reflect a difference in metacognitive efficiency but might as well be caused by a difference in discrimination performance, discrimination task criterion, or confidence criteria.
Outcome context-dependence is not WEIRD: Comparing reinforcement- and description-based economic preferences worldwide
Authors: Anlló Hernán , Palminteri Stefano
Published: March 2023

Recent evidence indicates that reward value encoding in humans is highly context-dependent, leading to suboptimal decisions in some cases. But whether this computational constraint on valuation is a shared feature of human cognition remains unknown. To address this question, we studied the behavior of individuals from across 11 countries of markedly different socioeconomic and cultural makeup using an experimental approach that reliably captures context effects in reinforcement learning. Our findings show that all samples presented evidence of similar sensitivity to context. Crucially, suboptimal decisions generated by context manipulation were not explained by risk aversion, as estimated through a separate description-based choice task (i.e., lotteries) consisting of matched decision offers. Conversely, risk aversion significantly differed across countries. Overall, our findings suggest that context-dependent reward value encoding is a hardcoded feature of human cognition, while description-based decision-making is significantly sensitive to cultural factors.
Metacognition modulates the relation between maternal severity of psychopathological symptoms and reported child symptoms.
Authors: Prieto Fernanda , Lorca-Vyhmeister Alejandro Andrés , CALCAGNI SOLEDAD COO , Silva Jaime R. , Goupil Louise , Reyes Gabriel
Published: March 2023

In developmental psychology, one of the questions that garners the attention of clinicians and experimental psychologists is caregiver bias in child’s psychological problems reports. Different models suggested by developmental psychology (e.g. The Depression-distortion, Accuracy and Combinatory model), had discussed the relation between the mother’s objective description of a child’s mental state and the degree of bias in her report. Recent evidence suggests that such bias could respond to a deficit in the caregiver’s ability to access, monitor and regulate their own psychological contents. The hypothesis to investigate is if such ability in caregivers, known as metacognition, could modulate the quality of mental attributions in the children. To this end, we recruited 102 Chilean mothers-children dyads users of the public care system in the city of Santiago. In an experimental setting, we evaluated metacognition in the mother through a perceptual metacognition task in addition to different psychopathology questionnaires (SCL-90-R & STAI) and biological reactivity to stress (TSST). By questioning the mother, we also investigated her belief about psychological symptoms in the child (CBCL 1½ - 5). Our results indicate that maternal severity and quantity of symptoms predict maternal reports of problematic psychological states in their child only in caregivers who show low metacognitive efficiency. We conclude the article with a discussion of the link between metacognitive capacity and the ability to attribute mental states to third parties.
Defining edible landscapes: a multilingual systematic review
Authors: Rupprecht Christoph David Dietfried , Gärtner Nadine , Cui Lihua , Sardeshpande Mallika , McGreevy Steven R. , Spiegelberg Maximilian
Published: March 2023

The concept of edible landscapes seeks to combine a participatory approach to food production with wider concerns about well-designed, sustainable human-landscape relationships. Despite its decade-long history and seeming potential for holistically addressing multiple intertwined socio-ecological crises, the concept has received much less attention than related ideas such as green infrastructure or nature-based solutions. We conducted a systematic, multilingual review of 79 studies to understand how edible landscapes are defined, what their characteristics are, what trends exist in the literature, and how edible landscapes can be situated in the broader context of food production. Findings suggest that no clear definition of the term ‘edible landscape’ currently exists, although the implicit consensus is that edible landscapes feature food production as well as an aesthetic contribution. The literature holds high expectations but provides only limited empirical evidence for benefits. Edible landscape frames a unique conceptual space, which we visualize by placing it in relation with related concepts. We then propose two concise, genus-differentia definitions as a basis for academic debate, one of which expands the concept to include multispecies agency in designing landscapes. We conclude with a call for more empirical as well as theory-focused research to facilitate edible landscapes’ contributions to more sustainable human-nature relationships.
Tackling the UK's Regional Economic Inequality: Binding Constraints and Avenues for Policy Intervention
Authors: Stansbury Anna , Turner Dan , Balls Ed
Published: March 2023

The UK is one of the most regionally unequal industrialised economies. In this paper, we analyze the UK’s regional economic inequality from the perspective of productivity disparities between large regions, focusing on the gap between London/South East vs the rest. We look at four important economic inputs – education, infrastructure, innovation, and access to finance – for each one building up a collage of evidence to gauge the extent to which it is a binding constraint on regions’ productivity growth. We then analyze interregional migration. We find little evidence consistent with the hypotheses (i) that low shares of university graduates remain the primary constraint on growth for the UK’s regions; (ii) that there is a generalized issue with access to finance for firms outside the South East; or (iii) that low or falling regional migration rates are to blame for the persistence of the UK’s regional economic inequalities. Instead, we find evidence consistent with (i) a specific relative shortage of STEM skills; (ii) binding transport infrastructure constraints within major non-London conurbations; (iii) a failure of public innovation policy to support clusters beyond the South East, in particular through the regional distribution of public support for Research and Development (R&D); and (iv) missed opportunities for higher internal mobility due to London’s overheating housing market.
An introduction to the Indus Valley Tamil scripts
Authors: Mathiazhagan Chakravarthy
Published: March 2023

This is a summary of the research methods used in a recent decipherment of the ancient logosyllabic Indus Valley Tamil scripts. Full details can be found in a book titled ‘Indus Valley Tamil Scripts’ available from Amazon Kindle and Notion Press.
Data Driven Futures of International Refugee Law
Authors: Byrne William Hamilton , Gammeltoft-Hansen Thomas , Piccolo Sebastiano , Møller Naja L. Holten , Slaats Tijs , Katsikouli Panagiota
Published: March 2023

As refugee law practice enters the world of data, it is time to take stock as to what refugee law research can gain from technological developments. This article provides an outline for a computationally driven research agenda to tackle refugee status determination variations as a recalcitrant puzzle of refugee law. It firstly outlines how the growing field of computational law may be canvassed to conduct legal research in refugee studies at a greater empirical scale than traditional legal methods. It then turns to exemplify the empirical purchase of a data driven approach to refugee law through an analysis of the Danish Refugee Appeal Board’s asylum case law and outlines methods for comparison with datasets from Australia, Canada and the United States. The article concludes by addressing the data politics arising from a turn to digital methods, and how these can be confronted through insights from critical data studies and reflexive research practices.
Moral intuitions behind deepfake-related discussions in Reddit communities
Authors: Gamage Dilrukshi , Raveenthiran Hariharan , Sasahara Kazutoshi
Published: March 2023

Deepfakes are AI-synthesized content that are becoming popular on many social media platforms, meaning the use of deepfakes is increasing in society, regardless of its societal implications. Its implications are harmful if the moral intuitions behind deepfakes are problematic; thus, it is important to explore how the moral intuitions behind deepfakes unfold in communities at scale. However, understanding perceived moral viewpoints unfolding in digital contexts is challenging, due to the complexities in conversations. In this research, we demonstrate how Moral Foundations Theory (MFT) can be used as a lens through which to operationalize moral viewpoints in discussions about deepfakes on Reddit communities. Using the extended Moral Foundations Dictionary (eMFD), we measured the strengths of moral intuition (moral loading) behind 101,869 Reddit posts. We present the discussions that unfolded on Reddit in 2018–2022 wherein intuitions behind some posts were found to be morally questionable to society. Our results may help platforms detect and take action against immoral activities related to deepfakes.
Recover the Missing Dimension of Managerial Risk of Stockholdings and Option Grants
Authors: Nie George Y.
Published: March 2023

Nie (2023) suggests that Markowitz (1952) asset risk misses the indispensable dimension of time length of asset holder’s risk, thereby preventing scholars from measuring managerial risk of stockholdings and option grants bound with untradability. This study captures managerial risk as the risk over the (in)visible time lengths of untradability of the underlying assets and their outcomes until they turn fully tradable. Nie (2023) argues that asset risk causes volatility, but not vice versa, implying that Black and Scholes (1973) effectively price options as risk-free. Our option value includes the underlying stock and a deferred payment weighted on their probabilities at maturity.
ANALYSING THE OCCURENCE AND DISTRIBUTION OF FOREST FIRE
Authors: Karki Neelam
Published: March 2023

Forest fires are harmful to the ecological environment, which have induced global attention. Forest fire is the serious problem which causes loss of human lives and property and destruction of natural resources annually in Palpa District. Though it is serious problems district does not have exact forest fire data, very less systematic and scientific studies regarding forest fire have been done in the past days. Recognizing the problems and lacking of fire related research, this study was proposed to overcome from this problem. This study was focused on identifying occurrence and distribution of forest fire, bio-physical attributes that are responsible for forest fire, and its consequences through the direct and indirect observation. With the development of technology to identifying the emergency situations, hazardous fuels reduction, fire fighting rehabilitation and restoration of the spatial information in timely and effectively MODIS data play the immense role. Thus, to obtain the accurate result this study used the fire detected data given by MODIS for the ground verification. From the result, about 70% of fire incident data was found accurate. . Fire was occurred more frequently during March, April and May with more prone on Shorea robusta and Pine forest. Similarly, Sloping ranging 15%-30% and aspect facing southeast and southwest area were more prone to the forest fire. The main cause of forest fire in Palpa District was anthropogenic factors and trans-boundary to Nawalparasi and Rupandhei District. To minimize the risk of forest fire, special consideration must be taken by the forest department during hot and dry season with well-equipped fire crews as well as public awareness programs should be raised.
Negara VS Korporasi (Studi Kasus Kebakaran Hutan dan Lahan di Indonesia)
Authors: afandi syed agung
Published: March 2023

Luasnya hutan Indonesia serta lemahnya kapasitas politik pemerintah telah menyebabkan eksploitasi secara masif. Dalam konteks ini laju deforestasi tidak terbendung. Negara tidak mampu melakukan upaya pencegahan secara efektif sekalipun dampak yang ditimbulkan sudah sangat luas. Secara keseluruhan, deforestasi serta kabut asap telah merampas banyak ruang dan keadilan bagi seluruh mahluk hidup.
Analisis Preferensi Risiko Petani Pada Usahatani Gambir Di Kabupaten Pesisir Selatan
Authors: Sasrido Mizi , Tanjug Faidil , Mutiara Vonny Indah
Published: March 2023

Gambir merupakan salah satu komoditi unggulan Kabupaten Pesisir Selatan dengan tingkat produksi yang bervariasi setiap waktu. Fluktuasi yang terjadi pada usahatani gambir mengindikasikan bahwa pengelolaan usahatani gambir sangat dipengaruhi oleh keberadaan risiko produksi. Hal ini akan berdampak pada preferensi petani terhadap risiko tersebut, dalam hal ini dikategorikan sebagai risk averse, risk neutral dan risk taker. Penelitian ini bertujuan menganalisis preferensi risiko petani pada usahatani gambir di Kabupaten Pesisir Selatan. Survey dilakukan pada 63 sampel petani yang melakukan kegiatan panen dan pengolahan getah gambir pada periode Januari-Desember 2021 dan sampel dipilih secara random sampling. Metode analisa yang digunakan adalah model fungsi produktivitas frontier, fungsi risiko produksi dan fungsi inefisiensi teknis yang dikembangkan oleh Kumbhakar. Hasil penelitian menunjukkan bahwa rata-rata preferensi risiko petani gambir di Kabupaten Pesisir Selatan adalah risk averse. Pada keseluruhan input produksi diketahui luas lahan, tenaga kerja, umur tanaman, dummy teknologi dan pestisida memiliki kecenderungan risiko yang risk Averse. Hanya input jumlah pohon yang memiliki preferensi risk taker.
Regionalisme Arsitektur Melayu Pada Kantor DPRD Langkat
Authors: Siregar Rahma Wardani
Published: March 2023

Regionalism in architecture is an attempt to show back into the regional architecture style into the present building. North Sumatera is one multiethnic provinces with indigenous Malay. Malay native tribes in North Sumatra is one of the eastern coastal area in the district of Langkat. Currently in Langkat district with many buildings designed to redisplay the regional characteristics as Langkat Parliament's office which can be seen in the use of architectural elements of the past  is a Langkat’s Malay architecture. The method used in this research is descriptive qualitative to see firsthand the Langkat Parliament's office. Results of the analysis conducted with the purpose of knowing the architectural elements that affect Langkat Parliament's office as regionalism architecture. There are some architectural elements that affect regionalism in the Parliament office.
Penerapan Elemen Menara Pada Bangunan Bergaya Art Deco Di Medan
Authors: Simbolon Sari Desi Minta Ito , Rambe Yunita Syafitri
Published: March 2023

The characteristics of a building style and its character are shaped by some of its architectural elements. One of these architectural styles is an Art Deco-style building that has its own character. This style first appeared in 1925 and developed until 1940. This European architectural style was adopted in various American buildings due to their condition in the time of the industrial revolution. The modern architectural movement that developed at that time also influenced the art deco style and gave it a modern touch. The Art Deco style in graphic design restores again decorativism but not necessarily in the form of ornaments. Decorative impressions can be achieved through the play of elements geometric, typographic blocks, textures and shades of color. Art Deco style has characteristics that are very distinctive and easily distinguished from other architectural styles. Art deco still exists in the spirit of medan city development as place of research evidenced by the many old buildings that are repurposed as well as new buildings that take the characteristics of Art Deco. One of them is the use of tower elements or one part of the building that rises slightly upwards and gives a magnificent impression.
ANALISIS RANGKAIAN OP-AMP SEBAGAI KOMPARATOR MENGGUNAKAN CIRCUIT SIMULATOR APPLET
Authors: M Reza Pebriawan , Khairunnisa Hana Suraya , Halizzah Verra , Sugihartanti Ranti , Salsabila Nisyrina , Tazkiyyanisa Fathimah , Riani Dwi Wahyu
Published: March 2023

Operasional Amplifier berfungsi untuk memperkuat tegangan searah ataupun bolak-balik. Fungsi Op-Amp dapat muncul dari dasar rangkaian umpan balik dengan jumlah besar umpan balik negatifnya, kinerja rangkaian tersebut ditentukan oleh komponen umpan baliknya. Penyusunan Op-Amp disusun dalam sebuah rangkaian yang terintegrasi atau biasa disebut dengan Integrated Circuit (IC). Ditulisnya analisis rangkaian komparator ini adalah untuk dapat mengetahui rangkaian komparator, menganalisis hasil rangkaian komparator pada simulasi Circuit Simulator Applet. Pada analisis ini terdapat dua metode yang digunakan yaitu pada komparator dan H-Bridge yang sama-sama menggunakan metode kuantitatif dengan tegangan yang dihubungkan dengan komponen yang satu dengan lainnya untuk saling terhubung dan menghasilkan suatu output yang diinginkan. Pada penelitian ini menghasilkan komparator membandingkan jika masukkan positifnya lebih besar dari masukkan negatif dengan keluaran yang dihasilkan antara 11,86 sampai 1,145 Volt, Pada rangkaian H-Bridge menghasilkan jika nilai V1 dan V2 berbeda DC motor yang ada pada H-Bridge akan berputar dengan menyesuaikan nilai Vin yang tertera.
Deteksi Penyakit pada Tanaman Padi Menggunakan Pengolahan Citra Digital dengan Metode Convolutional Neural Network
Authors: Santosa Atharizky Ade , Fu'adah R Yunendah Nur , Rizal Syamsul
Published: March 2023

Rice plant is one of the important factors in supporting human life. When it starts to grow, of course, rice plants also often face problems such as pests or diseases that cause plants to die and lead to crop failure. So proper handling is needed to overcome the disease in rice plants. One of the treatments that can be done is by detecting diseases in rice plants, so that farmers can provide appropriate treatment for these problems. The research data will be processed through several stages, then the dataset used in this study consists of three classes of rice plant diseases, namely, bacterial leaf blight, brown spot, leaf smut and one class of healthy/healthy rice plants with a total of 16000 datasets collected from sources www.kaggle.net and previous research. The parameters tested in this study, namely hidden layer and optimizer affect system performance in the form of accuracy, precision, recall, fl-score, and loss values. In this study, the best results were obtained by using four hidden layers and Adam optimizer. Accuracy was 99.66%, precision, recall, fl-score was 99.66%. 100% and a loss of 0.0047 as well as a graph of the accuracy and loss performance in a good fit.
Desain Pembangkit Listrik Tenaga Surya (PLTS) Terapung pada Regulating Pond Aplikasi pada PLTA Renun UPDK Pandan PLN Kitsbu
Authors: Mochtar Gatot , Hardi Surya , Rohana Rohana
Published: March 2023

The less fossil fuel reserves in the world, especially Indonesia and environmental problems in the global sector caused by oil and gas exploration and mining, then alternative energy sources to replace fossil fuels or better known as renewable energy need to be developed. The Renun Hydroelectric Power Plant (PLTA) in North Sumatra has a water reservoir or so-called Regulating Pond with an area of ​​11.42 ha, the size of the Regulating Pond which is quite large is very appropriate if it is used for a Solar Power Plant (PLTS) because there is no land acquisition , and the Regulating Pond is more stable, there are no rising and falling contours. The solar panels used in floating solar panels on the regulating pound are 20,441 Polycristaline solar panels, 300 Wp power type Blue Sun Solar Energi BSM270-300P-60 (300W), the power generated is 6,123,300 Wp (6,123.3 kWp) or 6, 12 MWp. The batteries in PLTS consist of 275 series and 3.5 parallel and the total battery required is 1,100 JYC Batteries, OPzV3000 type batteries, and 9 inverters of the ABB brand PVI 500 TL CN with a power of 560 kW and a voltage of 360 V. The potential obtained from the PLTS planning in Regulating Pound for North Renun Hydroelectric Power Plant using Helioscope software simulation is 489,659 kWh/month.
Analisis Keselamatan dan Kesehatan Kerja dengan Menggunakan Metode Hazop pada Bengkel Tejo Steel
Authors: Putra Muhammad Devan Deandra , Widada Dharma , Fathimahhayati Lina Dianati
Published: March 2023

Bengkel Tejo Steel merupakan sebuah usaha jasa pembuatan teralis, canopy, pagar,Â  hingga aksesoris bangunan yang didirikan pada tahun 2014. Bengkel Tejo Steel terletak di Jalan Wiraguna, Kecamatan Samarinda Ulu, Kota Samarinda. Proses pembuatan pagar pada bengkel sering kali tidak menggunkan alat pelindung diri yang disebabkan rendahnya kesadaran karyawan terhadap penerapan Keselamatan dan Kesehatan Kerja (K3), hal ini dapat menyebabkan sering terjadinya kecelakaan kerja pada saat bekerja. Berdasarkan permasalahan tersebut, penelitian ini bertujuan untuk menganalisis dengan mengindentifikasi risiko, memberikan peniliaian risiko terhadap K3 dan memberikan usulan perbaikan menggunakan metode Hazard and Operability Study (HAZOP). Berdasarkan hasil penelitian yang dilakukan didapatkan hasil identifikasi risiko bahaya kerja yang dapat terjadi pada bengkel las Tejo Steel terdapat 6 temuan potensi bahaya atau hazard di setiap pekerjaan pembuatan pagar. Berdasarkan penilaian pada Risk Matrix, terdapat 3 (tiga) tingkatan level risiko yang berpotensi menimbulkan bahaya kerja. Tingkat risiko tersebut terdiri dari 2 risiko rendah dengan persentase 17%, 1 risiko sedang dengan persentase 8%Â  dan 9 risiko tinggi dengan persentase 75%. Dari penelitian ini tidak terdapat sumber hazard yang bernilai ekstrem. Berdasarkan potensi bahaya yang ditemukan maka diberikan usulan perbaikan terhadap faktor-faktor K3 pada proses pengerjaan pembuatan pagar di Bengkel Las Tejo Steel yaitu penataan ulang area penyimpanan material dan alat menggunakan Alat Pelindung Diri (APD) seperti safety helmet, pakaian lengan panjang, ear plug, apron las, helm las dan sepatu safety.
Optimasi Jumlah Alat Berat dengan Metode Integer Linier Programming pada Pekerjaan Penanganan Sampah di Tempat Pembuangan Akhir (TPA) Bukit Pinang Kota Samarinda
Authors: Shaleh Riezky Fajar , Dharma Widada  , Sitania Farida Djumiati
Published: March 2023

Sesuai dengan observasi peneliti pada TPA Bukit Pinang mempunyai permasalahan dimana jumlah alat berat yang ada tidak sesuai dengan volume sampah yang ditangani setiap harinya. Maka dari itu pada penelitian ini peneliti akan berfokus pada pengoptimalkan pemakaian alat berat dengan menggunakan metode integer linier programming dengan fungsi tujuan meminimasi jumlah alat berat berdasarkan skala produktivitas. Nilai variabel keputusan adalah 3 unit dan 5 unit. Kesimpulan yang dapat diambil yaitu jumlah alat berat Excavator yang optimal sebesar 3 unit dan jumlah alat berat Bulldozer yang optimal sebesar 5 unit. Variabel keputusan pada output LINGO ditandai dengan label variabel. X1 adalah jumlah alat berat excavator dan X2 adalah jumlah alat berat bulldozer. Nilai value dan variabel X1 yaitu 3 dan untuk variabel X2 yaitu 5. Kesimpulan yang dapat di ambil yaitu untuk memperoleh alat berat maksimal Excavator sebanyak 3 unit, dan alat berat maksimal Bulldozer sebanyak 5 unit.
Penentuan Komoditi Unggulan Kabupaten Serdang Bedagai dengan Aplikasi Metode Location Quotient (LQ)
Authors: Harianti Leni , Polewangi Yudi Daeng , Silviana Nukhe Andri
Published: March 2023

Kabupaten Serdang Bedagai yang terdiri dari 17 kecamatan menghasilkan berbagai komoditi pertanian dan perkebunan. Kedua komoditi ini merupakan penyumbang terbesar PDRB kabupaten Serdang Bedagai. Kontribusi sektor pertanian dan perkebunan terhadap PDRB Kabupaten serdang Bedagai tahun 2016-2020 menunjukkan nilai rata â€“ rata sebesar 40%. Komoditi pertanian meliputi padi, jagung, ubi kayu, ubi jalar, kacang tanah, kedelai dan kacang hijau dan komoditi perkebunan yang meliputi kakao, kelapa, karet dan kelapa sawit. Pemerintah Kabupaten Serdang Bedagai belum menentukan komoditi mana yang akan menjadi prioritas unggulan tiap kecamatan. Penelitian ini bertujuan menentukan komoditi pertanian dan perkebunan unggulan tiap kecamatan di Kabupaten Serdang Bedagai yang dikembangkan menjadi sumber perekonomian masyarakat di tiap kecamatan di Kabupaten Serdang Bedagai. Metode penelitian Â yang digunakan adalah penelitian kuantitatif dengan sumber data sekunder berasal dari instansi terkait dan BPS Serdang Bedagai. Penentuan komoditi unggulan menggunakan metode pendekatan Location Quotient (LQ). Hasil yang diperoleh masing-masing kecamatan memiliki komoditi pertanian dan perkebunan unggulan yang dapat dikembangkan dan berpeluang menjadi penopang ekonomi masyarakat di masing-masing kecamatan. Komoditi yang memiliki keunggulan komperatif tertinggi adalah padi di kec.Â  Sei Bamban, jagung di kec. Sipispis, ubi kayu di kec. Dolok Merawan, ubi jalar di kec. Silinda, kacang tanah di kec. Kotarih, kedelai di kec. Perbaungan, kacang hijau di kec. Serbajadi, kakao di kec. Pantai Cermin, kelapa di kec. Pantai Cermin, karet di kec. Sipispis dan kelapa sawit di kec.Bandar Khalipah. Komoditi unggulan di setiap kecamatan diharapkan mampu meningkatkan PDRB kab. Serdang Bedagai dengan tingkat kenaikan pertahunnya sebesar 2 %.