Miracle-dz/UniFAR-FTUs huggingface dataset:
The Effect Of Motivation and Workload On Employee Performance By Mediating Organizational Commitment To The Blitar City Regional Secretariat

This research aims to analyse and prove the effect of work motivation on performance, work motivation on organisational commitment, workload on employee performance, workload on organisational commitment, organisational commitment on employee performance, work motivation on employee performance through organisational commitment and workload on performance employees through organisational commitment. The type of research used is explanatory research. Data collection used a questionnaire method, while the statistical analysis method used was PLS-SEM. The results of the research are that work motivation affects employee performance; work motivation does not affect organisational commitment; the workload does not affect employee performance; the workload affects organisational commitment, organisational commitment affects employee performance, organisational commitment has no effect in mediating work motivation on employee performance, organisational commitment influences mediating the influence of workload on employee performance.
CASH CONVERSION CYCLE EFFECTS ON PROFITABILITY OF MALAYSIAN PLANTATION SECTOR

The cash conversion cycle (CCC) is a crucial indicator in determining how efficiently a firm can turn its inventory into sales and subsequently into cash. Data from 43 firms listed in Bursa Malaysia from 2016 to 2019 were used to study the relationship between the CCC and profitability. The determinants for CCC are the days sales outstanding (DSO), days payables outstanding (DPO), and days inventory outstanding (DIO) while profitability is represented by the return on assets (ROA) of the firms. The data were collected from the published annual reports and audited financial statements of the local plantation firms and analyzed using EViews version 10. The result reported that DSO positively influences profitability significantly. DIO also reported a positive influence on profitability but the relationship is insignificant. On the other hand, DPO has an adverse effect on profitability and the relationship is insignificant. The findings provide useful information for the Malaysian government, investors, and policymakers in developing effective policies, rules, or regulations to promote economic productivity, growth, and the best plantation financing decision.
A Physics Based Approach for PV Lifetime and Degradation Signatures Prediction

We present a physics-based approach to model the degradation rate/lifetime of Photovoltaic (PV) module consid-ering various aspects that might influence the PV reliability. Our approach considers the optical and thermal properties of a PV module. The electrical model is modelled as time and stress factors dependent based on the degradation rate and reliability models of the PV electrical circuit parameters; series and shunt resistances, transmittance, and the saturation current. Since our model is mostly physics-based, it allows to perform ‘what-if’ simulations and is hence capable of simulating different PV components, technologies and designs. Moreover, it allows to extract information about the degradation signatures and how they vary with different technologies and climate conditions.
Design of Metal Stamp Machine using Pneumatic Power with PLC Control

Automation is an unavoidable alternative to obtaining a simple, practical, efficient work system. To support this process, Programmable Logic Control (PLC) can be used. This design aims to make a tool that can be used to stamp metal using a PLC, which is done automatically. The purpose of this metal stamping process is to work to obtain a metal or product that has a stamp (brand). Sensors used in this process are inductive sensors and proximity sensors. The main sensor will detect the presence of metal at a certain distance without touching the object that moves the stamp tool. When the object is detected, inductive and proximity will detect metal objects at a close distance, ranging from 1 mm to several centimeters on the PLC as an input device. Objects will be stamped and selected based on the desired results. From the results of testing the design of the metal stamp control system using programmable logic control (PLC), the design is as expected with movements A +, B +, B-, A-C+, C-, PLC control works well, pneumatic trainer A +, B +, B-, A- C+, C-, the mains voltage on the solenoid goes well, the voltage on the sensor Average is 72.5 volts, voltage measurement at the PLC output of 225 volts.
Nonnegative Matrix Functional Factorization for Hyperspectral Unmixing With Nonuniform Spectral Sampling

Unmixing is a crucial technique in analyzing hyperspectral imaging (HSI) data, which involves identifying the endmembers present in the data and estimating their abundance maps. Due to some practical constraints in the atmospheric environment, HSI data is usually nonuniformly distributed along the spectral domain, which brings incomplete spectral information in the hyperspectral unmixing. To overcome this issue, we propose, in this article, nonnegative matrix functional factorization (NMFF) which is an extension of classical nonnegative matrix factorization (NMF) for hyperspectral unmixing. In particular, we present a novel functional factorization model by incorporating the implicit neural representations (INRs) to learn about endmembers. Our method effectively characterizes endmembers by learning a continuous representation through INR with positional encoding, capturing the nonuniform distribution of spectral wavelengths. This distinct approach streamlines NMFF’s iterative process for abundance extraction, bypassing the conventionally complex and cumbersome processing. When tested on various datasets, our hyperspectral unmixing approach consistently outperforms established techniques, showcasing the enhanced capabilities of our proposed model.
The Effect of Implementing the Contextual Teaching Learning (CTL) Approach on the Formation of Students' Physics Behavior

Purpose of the study: This research aims to determine the effect of implementing the Contextual Teaching Learning (CTL) approach on the formation of junior high school students' physics behavior. Methodology: This research is quantitative research with associative causal type. The total research sample was 69 students with a sampling technique using purposive sampling. The instruments used in this research were questionnaires and interviews. The data analysis techniques used in this research are descriptive statistics and inferential statistics. Main Findings: Based on the results of statistical analysis using SPSS 21, it was found that there was an influence of the application of Contextual Teaching (CTL) on the formation of physics behavior in class VIII SMP students with an influence percentage of 42%. With the regression equation Y = 45.508 + 0.363X. This means that if the CTL approach is not used in the physics learning process, the student's physics behavior score will be 45.508. Then, for every 1% increase in the level of the CTL approach, the physics behavior of class VII middle school students will increase by 0.363. l. Novelty/Originality of this study: The findings of this research indicate that this approach in the teaching process is important to use as a means to increase the nuances of learning in the classroom to be more meaningful. The novelty of this research is that it is useful as a means of improving physics teaching and learning strategies in the classroom in order to shape students' positive behavior.
A dual analysis study of classroom interactions in Japan and South Africa

The demands of raising education at a classroom level to international standards require a nuanced analytical lens involving multiple perspectives to contribute to the best practices. Most classroom research adopts a singular perspective, usually from researchers who are familiar with the nuances of the classroom context under study. In other words, published studies involving classroom observations are often analyzed by insiders who already have the insight to understand the situated dynamics of the classroom interactions they analyze. While this is an important analytical orientation, this stance may overlook important insights about teaching and learning that outsiders’ perspectives may be able to identify. The study employed a qualitative approach. Which was guided by the dialogic interactive theory. The methodological approach in Japan was face-to-face semi-structured interviews while in the South African context, virtual data generation methods were employed to interview teachers on the classroom interactions with students. The study population was English students, while in South Africa it was health course teachers who taught students from various health professions. A total of eight teachers were purposively recruited in South Africa with one student participant in Japan. Findings revealed similarities and differences in dialogic interactions and the interpretation of such interactions. Participants from both contexts had deliberate silence and reluctance to speak which was interpreted differently by the teachers, and lack of reciprocal and purposive engagements by students. Based on the dialogic interactive theory, it can be concluded that the aspirations to achieve an inclusive quality of education can best be achieved when teachers are transparent about the expected interactions for all the tenets of the dialogic theory to be achieved. It is therefore recommended that broader conversations about the analysis of situated dynamics of classroom interaction be encouraged to yield critical insights for education towards the attainment of inclusive quality education.
Impact of Heuristic Approach on Students’ Academic Achievement and Retention in Map Reading and Interpretation Among Secondary Schools, Municipal Zones, Kano-Nigeria

This study explores the impact of employing a heuristic approach on students’ academic achievement and retention in geography education. The sample consisted of 235 SS II students enrolled in public secondary schools in the Municipal Education Zone, Kano, Nigeria. The study utilized a quasi-experimental design, with two schools assigned to the experimental group (heuristic approach) and two schools assigned to the control group (lecture method). The Geography Achievement Test (GAT) was used as the data collection instrument. ANCOVA was used to test the hypothesis using SPSS and the findings revealed a significant difference in the mean academic achievements between students taught geography concepts using the heuristic approach and those taught using the lecture method. The experimental group exhibited higher academic achievement compared to the control group, indicating that the use of the heuristic approach enhances students’ understanding and performance in geography. Also, there was a significant difference in the mean retention scores of male and female students when taught geography using the heuristic approach. Female students achieved higher retention scores than their male counterparts, suggesting that the heuristic approach is particularly effective in facilitating knowledge retention for female students in geography education. Based on the findings, it is recommended that educators and curriculum developers incorporate the heuristic approach into teaching methods for geography concepts. Training programs and workshops can be conducted to familiarize teachers with effective strategies for implementing the heuristic approach in their lessons.
Efficacy of Using Intermittent Theta Burst Stimulation to Treat Negative Symptoms in Patients with Schizophrenia—A Systematic Review and Meta-Analysis

Negative symptoms in schizophrenia impose a significant burden with limited effective pharmacological treatment options. Recent trials have shown preliminary evidence for the efficacy of using intermittent theta burst stimulation (iTBS) in treating negative symptoms in schizophrenia. We aim to systematically review the current evidence of iTBS in the treatment of the negative symptoms of schizophrenia as an augmentation therapy. The study protocol was developed and registered on Prospero (registration ID: 323381). MEDLINE, EMBASE, Web of Science (Scopus), PsycINFO and Wan Fang databases were searched for sham-controlled, randomized trials of iTBS among patients with schizophrenia. The mean difference in major outcome assessments for negative symptoms was calculated. The quality of evidence was assessed using the Cochrane Risk of Bias Tool (version 1) and the GRADE system. Moreover, 12 studies including a total of 637 participants were included. Compared to sham treatment, the pooled analysis was in favor of iTBS treatment for negative symptoms (mean weight effect size: 0.59, p = 0.03) but not for positive symptoms (mean weight effect size: 0.01, p = 0.91) and depressive symptoms (mean weight effect size: 0.35, p = 0.16). A significant treatment effect was also observed on the iTBS target site left dorsal prefrontal cortex (mean weight effect size: 0.86, p = 0.007) and for stimulation with 80% motor threshold (mean weight effect size: 0.86, p = 0.02). Thus, our synthesized data support iTBS as a potential treatment for negative symptoms among patients with schizophrenia. However, the long-term efficacy and safety issues of iTBS in a larger population have yet to be examined.
Board Response to Transnational Regulation on Corporate Governance: A Case Study on EU Banking Regulation

How does a board of directors respond to stringent transnational regulations on corporate governance? We explore this question in a case study that includes interviews with key governance actors of a bank dealing with regulatory changes in the European Union (EU) initiated in 2010 in response to the financial crisis of 2007–2008. Our findings suggest that transnational regulations introduced a conflicting prescription to the directors, who were caught between two needs: existing local governance practices and transnational regulatory compliance. Contributing to the international corporate governance research, our findings corroborate the resistance to transnational regulations and the distrust attributable to boards of directors’ role struggles and the invasive accountability mechanisms introduced by such regulations. We, therefore, contribute to the ongoing discussion on how the conflicting layers of corporate governance—local versus global—and how the discontinuities between competing existing practices and the prescriptions of transnational regulations can provoke micro-resistance.
The Record-Setting Marconian Radio Station in Coltano, Italy

In September, 1902, Marconi was back from a long trip on the Italian Royal Navy's cruiser “Carlo Alberto”, where he successfully carried out many radio experiments in the northern seas, and soon, he expressed his intention to build a powerful intercontinental station in Italy. The station, which would be the first in Marconi's home country (and one of the first in the world, too), was intended to provide radiotelegraphic connections with Americas and Africa using frequencies below 100 kHz, which, at the time, were believed to be the sole option for long-distance radio communications. After some surveys across Italy, the selected site for this new station was Coltano, a marshy rural area between Pisa and Leghorn, near the Tyrrhenian Sea. The station was then inaugurated by Marconi itself in 1911 with transmissions to Clifden (Ireland) and Glace Bay (Canada), followed by a pioneeristic link reaching Massawa (Eritrea), across more than 2000 km of Sahara's dry soil, which, until then, was considered an unsurmountable obstacle for the propagation of low-frequency ground waves. This was just one of many astonishing records set by this once worldwide renowned, but now almost completely forgotten, radio station, born from Marconi's genius.
Analyzing the Effects of Driving Experience on Backing Maneuvers Based on Data Collected by Eye-Tracking Devices

For individuals who have just obtained their driver's license, their lack of experience may lead to situations where they need to repeatedly reverse their vehicle. During the process of reversing, they may struggle with knowing how to effectively use their mirrors. In contrast, experienced drivers are often more skilled at reversing. Therefore, understanding the effects of driving experience on backing maneuvers is crucial for improving driver safety and developing effective training programs. Eye movements play a crucial role in driving by helping drivers capture accurate visual information about their surroundings, enabling them to perform precise driving maneuvers. This study aims to analyze the impact of driving experience on backing maneuvers by utilizing data collected from eye-tracking devices. A comparative analysis is conducted between novice and experienced drivers to investigate differences in gaze patterns and fixation positions during backing maneuvers. Real-time gaze data is collected using eye-tracking devices during backing maneuvers. The findings reveal distinct disparities in gaze behavior and fixation positions between novice and experienced drivers. Novice drivers have cluttered vision and tend to focus more on the right door mirror and switch their eyes back and forth between the two areas of interest. The findings also suggest that experienced drivers are more likely to spend less time looking at the rearview mirror and keep their eyes straight ahead of their heads rather than use their peripheral vision. The results of this study can serve as guidelines for future self-driving and advanced driver assistance system (ADAS) development and provide useful insights for the identification and training of new drivers.
Runtime and Design Time Completeness Checking of Dangerous Android App Permissions Against GDPR

Data and privacy laws, such as the GDPR, require mobile apps that collect and process the personal data of their citizens to have a legally-compliant policy. Since these mobile apps are hosted on app distribution platforms such as Google Play Store and App Store, the app publishers also require the app developers who wish to submit a new app or make changes to an existing app to be transparent about their app privacy practices regarding handling sensitive user data that requires sensitive permissions such as calendar, camera, microphone. To verify compliance with privacy regulators and app distribution platforms, the app privacy policies and permissions are investigated for consistency. However, little has been done to investigate GDPR completeness checking within the Android permission ecosystem. In this paper, we investigate the design and runtime approaches towards completeness checking of sensitive (‘dangerous’) Android permission policy declarations against GDPR. In this paper, we investigate the design and runtime approaches towards completeness checking of dangerous Android permission policy declarations against GDPR. Leveraging the MPP-270 annotated corpus that describes permission declarations in application privacy policies, six natural language processing and language modelling algorithms are developed to measure permission completeness during runtime while a proof of concept Class Unified Modeling Language Diagram (UML) tool is developed to generate GDPR-compliant permission policy declarations using UML diagrams during design time. This paper makes a significant contribution to the identification of appropriate permission policy declaration methodologies that a developer can use to target particular GDPR laws, increasing GDPR compliance by 12% in cases during runtime using BERT word embedding, measuring GDPR compliance in permission policy sentences, and a UML-driven tool to generate compliant permission declarations.
A computational avenue towards understanding and design of zwitterionic anti-biofouling materials

ABSTRACT This review introduces a computational avenue towards understanding and design of zwitterionic anti-biofouling materials. Biofouling means nonspecific adsorption of proteins, cells, and bacteria on materials and devices. It can sabotage materials functions and bring detrimental effects on the biological systems. Various anti-biofouling materials have been developed and zwitterionic materials emerge as promising candidates recently. The design and understanding of zwitterionic anti-biofouling materials rely on the answers of three fundamental questions: (a) what molecular properties govern the anti-biofouling performance of materials, (b) what is the structure–property-anti-biofouling relationship for materials, and (c) how to identify anti-biofouling materials based on the revealed mechanisms? This paper discussed the efforts of answering the three questions using molecular simulations. We first discuss the simulations that revealed the importance of hydration in the anti-biofouling performance of materials and why this mechanism leads to the discovery of zwitterionic anti-biofouling materials, then the simulations that investigated structure-properties-performance relationships of zwitterionic anti-biofouling materials, and the development of computational approaches that can identify zwitterionic anti-biofouling molecules. Finally, we discuss the opportunities in understanding and design of anti-biofouling biomaterials using computer simulations.
Sprouting Buds of Petunia Hybrida Cuttings Under Normal Conditions in Vitro Culture

Petunia hybrida is a genus of flowering plants with beautiful colors, popularly grown in modern architecture. In Vietnam, Petunia hybrid is propagated using cuttings or grown from seeds. The application of tissue culture in agriculture produces high-quality and inexpensive plant varieties. In vitro regeneration is a modern and useful method in agriculture. Our research aims to investigate the best sterilization method for samples and the effects of sucrose concentration and coconut water ratio added into Knudson C medium (KC) for sprouting in vitro sprouts of Petunia cuttings under normal conditions. We used a combination of 70%, 75%, and 80% ethanol and 0.5%, 0.75%, and 1% NaOCI to sterilize the samples and studied the effects of sucrose and coconut water added to KC medium on the development of in vitro sprouts. We found that using 70% ethanol combined with 0.75% NaOCI, and then adding 10% (g/L) sucrose and 15% (v/v) coconut water to KC medium ensured the best survival and development of in vitro Petunia hybrida sprouts under normal conditions.
On Modelling and Investigating User Acceptance of Highly Automated Passenger Vehicles

Highly automated passenger vehicles hold great potential to alleviate traffic congestion, enhance road safety, and revolutionize the travel journey. However, while much attention has been given to the technical aspects of this technology, the investigation of public acceptance remains crucial for successful implementation in the global market. To address this gap, this paper introduces innovative research that explores the predictors influencing consumers’ intention to adopt highly automated passenger vehicles. Through an online questionnaire-based survey conducted among European adults, we extend the Unified Theory of Acceptance and Use of Technology (UTAUT) framework to incorporate three additional constructs: perceived reliability/trust, perceived financial cost, and perceived driving enjoyment. The key findings of this study underscore the significance of driving enjoyment, financial cost, social influences, and reliability/trust as influential predictors of consumers’ intention to adopt highly automated passenger vehicles. By considering these factors, automotive stakeholders can gain valuable insights to develop effective strategies and approaches for the successful implementation of highly automated passenger vehicles in the near future. Last, its innovations pave the way for a transformative shift in transportation, enabling the realization of safer, more efficient, and enjoyable travel experiences for individuals and society as a whole.