ethicalabs/Research-Intent-Collab huggingface dataset:
Perancangan Human Resource Information System (HRIS) Berbasis Website di PT. Ordivo Teknologi Indonesia

Abstrak - PT Ordivo Teknologi Indonesia merupakan startup asal Bandung, Indonesia yang bergerak dalam bidang e-commerce dan mulai merintis usahanya pada tahun 2018. Dikarenakan pertumbuhan perusahaan yang pesat dan peningkatan jumlah karyawan, manajemen sumber daya manusia di perusahaan menghadapi kendala dalam pengelolaan data karyawan. Pada awal tahun 2022 perusahaan memutuskan untuk membuat divisi baru yaitu Human Resource (HR). Sampai saat ini belum ada absensi dan proses perhitungan gaji masih tergolong belum efektif. Pengelolaan pengajuan cuti saat ini masih dilakukan secara manual, menyebabkan kurang optimalnya pengelolaan dan seringkali tidak terdokumentasi dengan baik. Selain itu, akses terhadap data karyawan dan informasi mengenai sisa cuti setiap karyawan juga menjadi sulit untuk diperoleh. Berdasarkan penjelasan tersebut, maka pada penelitian ini penulis mencoba untuk merancang dan membangun sebuah sistem informasi berbasis website yang bertujuan untuk mengelola data sumber daya manusia yang berfokus pada absensi dan penggajian. Dalam pengembangan aplikasi ini, metode yang diterapkan adalah metode prototype. Sistem informasi yang dihasilkan dari penelitian ini diharapkan dapat memberikan bantuan kepada perusahaan dalam mengatasi berbagai tantangan yang umumnya dihadapi oleh bagian HR dan akunting dalam mengelola data absensi dan penggajian yang masih dilakukan secara manual. Kata kunci: HRIS, Absensi, Penggajian. Abstract  - PT Ordivo Teknologi Indonesia is a startup based in Bandung, Indonesia, engaged in the field of e-commerce and began its business venture in 2018. Due to the rapid growth of the company and the increase in the number of employees, human resource management in the company faces challenges in managing employee data. In early 2022, the company decided to establish a new division, namely Human Resources (HR). Until now, attendance and salary calculation processes have not been effectively implemented. The management of leave requests is still done manually, resulting in suboptimal management and often poor documentation. In addition, accessing employee data and information regarding the remaining leave for each employee is also difficult to obtain. Based on the explanation above, in this research, the author attempts to design and develop a web-based information system aimed at managing human resources data, with a focus on attendance and salary management. The prototype method is applied in the development of this application. The resulting information system from this research is expected to provide assistance to the company in addressing the various challenges commonly faced by the HR and accounting departments in managing attendance and salary data that are still manually processed.Keywords: HRIS, Attendance, Payroll.
Multi-Label Annotation Aggregation in Crowdsourcing

As a means of human-based computation, crowdsourcing has been widely used to annotate large-scale unlabeled datasets. One of the obvious challenges is how to aggregate these possibly noisy labels provided by a set of heterogeneous annotators. Another challenge stems from the difficulty in evaluating the annotator reliability without even knowing the ground truth, which can be used to build incentive mechanisms in crowdsourcing platforms. When each instance is associated with many possible labels simultaneously, the problem becomes even harder because of its combinatorial nature. In this paper, we present new flexible Bayesian models and efficient inference algorithms for multi-label annotation aggregation by taking both annotator reliability and label dependency into account. Extensive experiments on real-world datasets confirm that the proposed methods outperform other competitive alternatives, and the model can recover the type of the annotators with high accuracy.
Bio-inspired additive manufacturing of PLA composites reinforced with Alangium salviifolium bark fibers for 3D printing applications

The increasing demand for sustainable materials in additive manufacturing (AM) has driven significant interest in natural fiber–reinforced biodegradable composites. This study investigates the feasibility of using Alangium salviifolium bark (ASB) fibers as a novel bio-based reinforcement for polylactic acid (PLA) in fused deposition modeling (FDM) 3D printing. Composite filaments were fabricated by incorporating ASB fibers at different loadings (1–4 wt.%) into PLA using a single-screw extrusion process, followed by the fabrication of test specimens in accordance with ASTM standards. Mechanical characterization was carried out through tensile, flexural, compression, hardness, impact, and wear tests, while morphological and structural analyses were performed using scanning electron microscopy (SEM) and X-ray diffraction (XRD). The results demonstrated a significant enhancement in the mechanical performance of PLA with ASB fiber incorporation, with optimum properties achieved at 2 wt.% fiber loading. At this concentration, tensile strength (50.44 MPa), flexural strength (61.03 MPa), compression strength (55.67 MPa), and Young’s modulus reached maximum values compared to neat PLA. Impact strength improved by approximately 29%, and hardness showed a consistent increase with increasing fiber content. Improved wear resistance was observed at 1–2 wt.% fiber loadings, while higher concentrations led to performance deterioration due to fiber agglomeration. SEM analysis confirmed uniform fiber dispersion and strong interfacial bonding at lower loadings, whereas XRD results indicated enhanced crystallinity up to 2 wt.% reinforcement. Overall, the study establishes ASB fibers as an effective and sustainable reinforcement for PLA, highlighting their potential for eco-friendly structural and functional applications in additive manufacturing.
Tunable moiré materials for probing Berry physics and topology

Berry curvature physics and quantum geometric effects have been instrumental in advancing topological condensed matter physics in recent decades. Although Landau level-based flat bands and conventional 3D solids have been pivotal in exploring rich topological phenomena, they are constrained by their limited ability to undergo dynamic tuning. In stark contrast, moiré systems have risen as a versatile platform for engineering bands and manipulating the distribution of Berry curvature in momentum space. These moiré systems not only harbor tunable topological bands, modifiable through a plethora of parameters, but also provide unprecedented access to large length scales and low energy scales. Furthermore, they offer unique opportunities stemming from the symmetry-breaking mechanisms and electron correlations associated with the underlying flat bands that are beyond the reach of conventional crystalline solids. A diverse array of tools, encompassing quantum electron transport in both linear and non-linear response regimes and optical excitation techniques, provide direct avenues for investigating Berry physics. This review navigates the evolving landscape of tunable moiré materials, highlighting recent experimental breakthroughs in the field of topological physics. Additionally, we delineate several challenges and offer insights into promising avenues for future research.
Expert meeting on ecosystem valuation in the context of natural capital accounting

BfN-Skripten (1.1998 - 631.2022); 525 [e]
Statistical-Mechanical Theory of One-Dimensional Gases with Short-Range and Long-Range Intermolecular Forces. III. Phase Transitions at Finite Temperatures in the Case of Repulsive Short-Range Interaction

Numerical calculations of the equation of state are made for the one-dimensional gas model proposed and discussed by Ikeda in the preceding papers I and II. The model consists of molecules with hard cores, short-range (square-potential) repulsions and infinitely-long-range attractions (given by the potential -2 a / L , a =positive constant, L =length of the gas). For this model it is exactly shown that, for sufficiently weak attractions, the gas-liquid and liquid-solid transitions occur at all sufficiently low temperatures (as in helium), and that, in a certain range of strengths of attraction, only the gas-solid transition occurs at all temperatures lower than T t (=triple point) and the gas-liquid and liquid-solid transitions occur at temperatures higher than T t but lower than a certain temperature (as in usual substances in nature), and that, for sufficiently strong attractions, only one transition occurs, as in a van der Waals gas.
The Dark Energy Survey Data Processing and Calibration System

The Dark Energy Survey (DES) is a 5000 deg2 grizY survey reaching characteristic photometric depths of 24th magnitude (10 sigma) and enabling accurate photometry and morphology of objects ten times fainter than in SDSS. Preparations for DES have included building a dedicated 3 deg2 CCD camera (DECam), upgrading the existing CTIO Blanco 4m telescope and developing a new high performance computing (HPC) enabled data management system (DESDM).   The DESDM system will be used for processing, calibrating and serving the DES data. The total data volumes are high (~2PB), and so considerable effort has gone into designing an automated processing and quality control system. Special purpose image detrending and photometric calibration codes have been developed to meet the data quality requirements, while survey astrometric calibration, coaddition and cataloging rely on new extensions of the AstrOmatic codes which now include tools for PSF modeling, PSF homogenization, PSF corrected model fitting cataloging and joint model fitting across multiple input images.   The DESDM system has been deployed on dedicated development clusters and HPC systems in the US and Germany. An extensive program of testing with small rapid turn-around and larger campaign simulated datasets has been carried out. The system has also been tested on large real datasets, including Blanco Cosmology Survey data from the Mosaic2 camera. In Fall 2012 the DESDM system will be used for DECam commissioning, and, thereafter, the system will go into full science operations.
Role of Political Leadership in the Protection of Minorities' Rights of Pakistan

The purpose of this study is to examine how minority populations in Pakistan have long struggled to exercise their fundamental rights, emphasizing the necessity of strong political leadership to uphold and advance those rights. This study looks at how Pakistan's political leadership protects the rights of Ahmadis, Christians, Hindus, and Sikhs, among other minority groups. In-depth interviews with important stakeholders, such as legislators, human rights advocates, and leaders of minority groups, were conducted as part of a qualitative methodology. According to the report, Pakistan's political leadership has not always been consistent in upholding the rights of minorities; some have called for more safeguards, while others have continued to support discriminatory laws and practices. In order to guarantee the effective protection of minority rights, the findings also emphasize the significance of bolstering institutional institutions, such as the National Commission for Minorities. This study recommends the political leadership of Pakistan should prioritize inclusive governance practices, fortify institutional processes, and foster interfaith understanding and communication in order to better defend the rights of minorities, according to this report. The government should also pass and implement laws that forbid hate speech and discrimination against minority groups.
Social network information diffusion model based on user’s influence and interesting

A new non-topological information diffusion model of social network was proposed,called non-topological influence-interest diffusion model (NT-II).Representation learning was exploited to construct two hidden spaces for NT-II，called the user-influence space and the user-interest space,each user and each propagation item was mapped into a vector in space.The model predicted the probability of a user receiving a propagated item,considering not only the degree of influence from other users,but also the user's preference for propagated item.The experimental results show that the model can simulate the propagation process and predict the propagation results more accurately.
Social Influence Analysis for Information Diffusion in Complex Commercial Network

Social influence causes ideas to diffuse across the globe and track the rate at which awareness spans through online social communities. The users with better connectivity and higher interactivity bear greater potentials of spreading as well as perceiving the social trend. This concept has been further considered in the research to identify such prospective users in social network with high probability of influencing the opinions of others to whom they are connected. For the experimentation, Twitter profiles of 1900 followers from three major e-commerce portals, including Amazon, Snapdeal, and Flipkart, have been extracted to serve as the social network for conducting research. Acquired data is further narrowed down to yield a set of influential users in terms of central and centrally active, which are parameterized by neighborhood size and frequency of Twitter activity of individuals. Diffusion analysis is further performed on the derived set of key influencers to track the rate at which information propagates in the network.
Error-mitigated quantum computing of Heisenberg spin chain dynamics

Abstract                We simulate the time-dependent dynamics of a three-site spin chain described by the Heisenberg XXX Hamiltonian. The quantum circuit representing the time-dependent wave function is constructed using the Suzuki-Trotter approximation, and is executed on the quantum computer ibm_kawasaki. At each time step, the density matrix of the three-qubit state is reconstructed by state tomography. By applying four different mitigation methods, Clifford data regression, Pauli twirling, density matrix purification, and density matrix orthogonalization, we demonstrate that accurate time-dependent populations and density matrices can be calculated on noisy superconducting-qubit type quantum computers.
Health Information Exchange Integration: A Technical Framework for Interoperability, Resilience, and Compliance

This technical framework documents practical patterns for building Health Information Exchange (HIE) platforms, drawing on experience from production systems processing millions of healthcare messages. The patterns address database contention in clustered deployments, audit logging performance, DNS failover for persistent connections, and data archival strategies balancing cost against compliance.  Key contributions: (1) Schema partitioning eliminating write contention with 3x throughput improvement; (2) Asynchronous audit logging reducing latency from 50-200ms to 5-10ms; (3) Adaptive DNS failover reducing recovery time by 90%; (4) Time-based archival reducing storage costs by 80-95% while meeting HIPAA retention requirements.
Restoring drinking water acceptance following a waterborne disease outbreak: the role of trust, risk perception, and communication

AbstractAlthough research shows that acceptance, trust, and risk perception are often related, little is known about the underlying patterns of causality among the three constructs. In the context of a waterborne disease outbreak, we explored via zero‐order/partial correlation analysis whether acceptance predicts both trust and risk perception (associationist model), or whether trust influences risk perception and acceptance (causal chain model). The results supported the causal chain model suggesting a causal role for trust. A subsequent path analysis confirmed that the effect of trust on acceptance is fully mediated by risk perception. It also revealed that trust is positively predicted by prior institutional trust and communication with the public. Implications of the findings for response strategies to contamination events are discussed.
Statistical mechanical determination of nanocluster size distributions in the phase coexistence region of a first order phase transition from the isotherms of DMPC monolayers at the air–water interface

A statistical mechanical deconvolution procedure for the measured surface pressure–area isotherms has been presented to obtain nanocluster size distributions in the LE–LC phase coexistence region of DMPC monolayers at the air–water interface.
Emulating dark energy models with known equation of state via the created cold dark matter scenario

In this work we establish only at background dynamics level, the equivalence between the Created Cold Dark Matter (CCDM) model and diverse dark energy (DE) models. We find that for a barotropic or linear equation of state (EoS) for the DE, $p=w ρ$, and standard matter sector the corresponding CCDM model is described by the same functional structure of the ratio of particle production, $Γ$. For a different EoS the functional form of the $Γ$ term is not longer maintained, however, in the case of a polytropic EoS given by the Chaplygin gas the resulting $Γ$ term can be written as the one obtained in the barotropic case under certain considerations.
A Review of International Law: Origins, Courts, and Sexual Violence as Understood Through the International Criminal Tribunal for Rwanda (ICTR) & The International Criminal Tribunal for the Former Yugoslavia (ICTY)

For her human rights capstone project, Sam Churovich wrote a paper detailing a history and overview of modern international human rights law, focusing on the Universal Declaration of Human Rights, the United Nations, and other international politics. Moreover, her paper considers the significance and legacies of international tribunals, specifically evaluating the International Criminal Tribunal for Rwanda (ICTR) & The International Criminal Tribunal for the Former Yugoslavia (ICTY) and their overall role in influencing sexual violence prosecution under international law.     Student project deposited by department for archival purposes. Original work unavailable for public download due to permission restriction preferences of the author.
Road traffic injuries and mortality in the context of the military threat to the sovereignty and territorial integrity of Ukraine

Период военного положения, безусловно, оказывает влияние на дорожно-транспортную сферу как важнуюнеотъемлемую составляющую механизма современного перемещения. В данной статье дается аналіз ситуациис безопасностью дорожного движения, а именно, смертности и травматизми в результате ДТП до и во времяширокомасштабной вооруженной агрессии Российской Федерации против Украины. Обращается внимание надостижение нулевых статистических показателей смертности от ДТП и роль Национальной полиции в этом.Рассматривается решение по регулированию дорожно-транспортной безопасности на региональном уровне вовремя действия военного времени. Введенное изъятие автотранспортных средств у определенной категорииводителей-правонарушителей рассматривается как импульс по противовесу правовому нигилизму на дорогах,который в условиях военного положения стал едва ли не оправданием дорожно-транспортной аварийности.Констатируется, что для изменения ситуации в сфере обеспечения безопасности дорожного движения, а имен-но существенного уменьшения дорожно-транспортного травматизма и смертности, необходим пересмотрроли и характера функционирования Национальной полиции в процессах предотвращения ДТП.
Child-centred pandemic decisions: how the Precautionary Principle can generate better risk assessment in an era of uncertainty

Abstract         Key messagesRisk assessment for children has been a polarising issue during the Covid-19 pandemic. Governments around the world are preparing to ‘open up’ before risks to children are fully quantified, with unknown implications for their long-term health.Applying the Precautionary Principle to child health requires decision makers to 1) take preventive action until risks are better understood; 2) ensure that the burden of proof rests with proponents of risk; 3) explore alternatives to the risk; and 4) use participatory approaches to decision-making.Policies relating to children must be centred on the rights and wellbeing of children. We provide a framework for comprehensive Health Impact Assessments to ensure that direct and indirect impacts upon children are taken into account in major policy decisions.Elimination strategies offer an integrated approach to the protection of children’s wellbeing, the wellbeing of the population as a whole, and health equity. Where countries are transitioning away from elimination, a tight suppression approach is preferable to loose suppression or mitigation.
Enhancing Security and Sensors Emerging Internet of Things (IoT) Technology of Homophone-Based Encryption using MANET‐IoT Networks Technique

The emerging Internet of Things (IoT) technology brings several benefits to the real-time applications of the smart city project. The IoT-enabled technologies are driven by the networks like Mobile Ad hoc Network (MANET), Vehicular Ad Hoc Network (VANET), Wireless Sensor Network (WSN), Underwater Wireless Sensor Network (UWSN), etc. The core functionality of IoT-enabled technologies mainly depends on routing functionality. The focus of this work is on the IoT-enabled MANET, i.e., IoT-MANET routing methods. There are several types of research conducted so far on the efficiency of MANET in different areas such as routing protocol, MAC protocol, queue, etc. Routing protocols are the major domain on which the performance of IoT-MANET has been analyzed. There are different types of routing protocols have introduced for the MANETs. The use and selection routing methods are done as per the real-time application needs. An average Ad hoc On-Demand Vector (AODV) routing protocol had shown good results under any type of network. The increase in internet usage for communication has led to a significant growth in the volume of data being transmitted over the internet, including computer data, text, video, audio, sound, and images. However, due to limited network capacities, efficient compression methods are needed to reduce the amount of data while preserving its quality and ensuring timely transmission. Data confidentiality is a crucial aspect of network security, and the homophone-based encryption with compression (HEC) technique offers a viable solution in this regard.
Audio-visual Russian speech recognition

Diese Dissertation entstand im Rahmen einer Kooperation mit der Universität ITMO in St. Petersburg. / This dissertation was written in the context of a cooperation with ITMO University in St. Petersburg.