A Solar Photovoltaic Performance and Financial Modeling Solution for Grid-Connected Homes in Zambia by Katundu Imasiku

“…It further reviews the available solar irradiance, modeling a detailed grid-connected photovoltaic system using locally available products for a single owner in a power purchase agreement (PPA) with the Zambia Electricity Company Limited (ZESCO). This model would alleviate the current power load shedding experienced by the residential sector, of up to 22 hours of no electricity out of 24 hours in a day. …”
Get full text

The impact of digital transformation on sustainability: a case of the Iranian telecom industry by Jamal Aghayari, Changiz Valmohammadi, Mahmood Alborzi

“…Due to this importance for organizations as consumers and other stakeholders, they are sensitive to the effects of business on brand value, revenues, and company valuation.…”
Get full text

EFQM in vocational education – teacher and student perspectives by Maria Gianni, Efthalia Kontou, Ilias Avdikos, Eftychia Kessopoulou, Styliani Xanthopoulou

“…The findings assist VET institutions in prioritizing areas for improvement and help companies to develop strategies that consider key stakeholders' needs.…”
Get full text

What Time Is It? Finding Which Temporal Features is More Useful for Next Activity Prediction by Lerina Aversano, Martina Iammarino, Antonella Madau, Giuseppe Pirlo, Gianfranco Semeraro

“…It finds more and more applications for the optimization of the production and administrative processes of private companies and public administrations. This field consists of several areas: process discovery, compliance monitoring, process improvement, and predictive process monitoring. …”
Get full text

A Differential Evolution-Oriented Pruning Neural Network Model for Bankruptcy Prediction by Yajiao Tang, Junkai Ji, Yulin Zhu, Shangce Gao, Zheng Tang, Yuki Todo

“…Financial bankruptcy prediction is crucial for financial institutions in assessing the financial health of companies and individuals. Such work is necessary for financial institutions to establish effective prediction models to make appropriate lending decisions. …”
Get full text

Frugivory and Seed Dispersal of the Threatened Cactus <i>Browningia candelaris</i> in the Vicinity of a Mining Site in the Atacama Desert, Chile by Ana María Humaña, Carlos E. Valdivia

“…We evaluated the effectiveness of fruit and seed dispersal in the threatened cactus <i>Browningia candelaris</i> at two different sites: one distant and one close to a mining company currently in operation. Unfortunately, in the study area, <i>B. candelaris</i> is only present in the two evaluated sites, which makes it impossible to have replications for the distant and nearby sites. …”
Get full text

WORD FORMATION OF MESSAGING APPLICATIONS FOUND IN PLAY STORE by Giyatmi Giyatmi, Sihindun Arumi, Mas Sulis Setiyono

“…Coinage consists of name of company and name of product. There are two types of clipping found namely fore-clipping and back-clipping. …”
Get full text

Are Chemicals a Useful Tool for Glass Eel Traceability? by Pedro Reis, Mafalda Fernandes, Luís Pereira, Carlos Antunes

“…In the same vein, metabolomes such as Butyric acid 4-vinylphenyl ester, N-(3-carboxypropanoyl)-Met, 2-(4-Methylphenyl)acetamide, N-formyl-glutamic acid, 3-Hydroxy-2-(3-methylbutanoylamino)propanoic acid, 4-Dodecylbenzenesulfonic Acid, Arginine and Pyrazole and the stable isotope 15N show potential as a chemical tools for glass eel traceability.…”
Get full text

Machine Learning- and Feature Selection-Enabled Framework for Accurate Crop Yield Prediction by Sandeep Gupta, Angelina Geetha, K. Sakthidasan Sankaran, Abu Sarwar Zamani, Mahyudin Ritonga, Roop Raj, Samrat Ray, Hussien Sobahi Mohammed

“…Long-term economic growth and prosperity are dependent on the success of agriculture and associated companies in the United States. Agribusiness crop yields may be increased by carefully selecting the right crops and putting in place supportive infrastructure. …”
Get full text

Combining UAV-Based Multispectral and Thermal Images to Diagnosing Dryness Under Different Crop Areas on the Loess Plateau by Juan Zhang, Yuan Qi, Qian Li, Jinlong Zhang, Rui Yang, Hongwei Wang, Xiangfeng Li

“…Here, we conducted UAV–ground synchronized experiments on three typical croplands in the eastern Gansu province of the Loess Plateau (LP). …”
Get full text

A Comprehensive Investigation of Anomaly Detection Methods in Deep Learning and Machine Learning: 2019–2023 by Shalini Kumari, Chander Prabha, Asif Karim, Md. Mehedi Hassan, Sami Azam

“…Almost 85% of companies polled said they were looking into anomaly detection (AD) technologies for their industrial image anomalies. …”
Get full text

Territorialidade e ancestralidade: formação e reconhecimento da comunidade pescadora extrativista do Quilombo do Degredo, Brasil by Lorena Lins, Augusto Cesar Salomão Mozine

“…The 2015 collapse of the Fundão dam, owned by the Samarco mining company in Mariana, Minas Gerais, Brazil, exacerbated these challenges. …”
Get full text

A Machine Learning Method to improve Supplier Delivery Appointments in Supply Chain Industries by Anitha Palakshappa, Sumana Maradithaya, Charunayana V

“…Practical Implications: Further, the work will also provide recommendations for retail companies looking to implement machine learning algorithms in their supply chain management. …”
Get full text

Assets performance evaluation with the use of returns distribution characteristics by Seyedeh Masoumeh Mirsadeghpour Zoghi, Masoud Sanei, Ghasem Tohidi, Shokoofeh Banihashemi, Navideh Modarresi

“…Finally, the scenarios of returns are obtained, and the assets performance is evaluated.Findings: The correctness of the model is investigated by evaluating the relative efficiency of 7 companies from different industries in Iran Stock market. …”
Get full text

MONITORING AND ANALYSIS OF STUDENTS' PERFORMANCE DURING SOFTWARE DEVELOPMENT by Oleksandr Sharyhin, Vasyl Fedorets, Oksana Klochko

“…The introduced metrics, namely Relative Control Degree and Relative Quality Assurance Degree, offer a robust framework for evaluating and understanding students’ performance across project, company, and industry levels. This study presents an innovative application that calculates the defined performance metrics, allowing for real-time monitoring of students’ performance as a Developer. …”
Get full text

Portfolio formation based on risk-adjusted performance and distribution-based returns using data envelopment analysis by Hosseinali Heydarzadeh, Fereydon Rahnamay Roodposhti, Alireza Rashidi Komijan, Seyyed Esmaeil Najafi

“…These risk values were then used in the data envelopment analysis to calculate the efficiency scores of each company.Findings: The diversified portfolio with stock performance degrees outperforms the minimum-variance Markowitz portfolio in terms of risk-adjusted and conditional risk-adjusted values. …”
Get full text

Design and Profit Allocation in Two-Echelon Heterogeneous Cooperative Logistics Network Optimization by Yong Wang, Yingying Yuan, Kevin Assogba, Ke Gong, Haizhong Wang, Maozeng Xu, Yinhai Wang

“…In modern supply chain, logistics companies usually operate individually and optimization researches often concentrate on solving problems related to separate networks. …”
Get full text

Economic Analysis of Sequestering Carbon in Green Ash Forests in the Lower Mississippi River Valley by Ching-Hsun Huang, Gary D. Kronrad, Shiaolin D. Cheng

“…Since the U.S. is the largest emitter of carbon dioxide (CO2), it has become crucial to develop options that are both cost effective and supportive of sustainable development to reduce atmospheric CO2. Electric utility companies have the options of reducing their use of fossil fuels, switching to alternative energy sources, increasing efficiency, or offsetting carbon emissions. …”
Get full text

Econometric analysis of supply chain disruptions: financial performance in the European automotive sector by Viviane Naimy, Tatiana Abou Chedid, Nicolas Bitar

“…We investigated the relationship between supply chain disruptions (SCD) and the financial performance (FP) of European automotive companies across emerging and developed nations. Addressing gaps in the literature, it offers a comprehensive, industry-specific analysis using panel data from 73 automotive firms across 21 European countries from 2013 to 2022. …”
Get full text

Antibodies to watch in 2024 by Silvia Crescioli, Hélène Kaplon, Alicia Chenoweth, Lin Wang, Jyothsna Visweswaraiah, Janice M. Reichert

“…We briefly review 26 product candidates for which marketing applications are under consideration in at least one country or region, and 23 investigational antibody therapeutics that are forecast to enter regulatory review by the end of 2024 based on company disclosures. These nearly 50 product candidates include numerous innovative bispecific antibodies, such as odronextamab, ivonescimab, linvoseltamab, zenocutuzumab, and erfonrilimab, and antibody–drug conjugates, such as trastuzumab botidotin, patritumab deruxtecan, datopotamab deruxtecan, and MRG002, as well as a mixture of two immunocytokines (bifikafusp alfa and onfekafusp alfa). …”
Get full text