bluuebunny/crossref_metadata_2025 huggingface dataset:
A comparative study of metaheuristics algorithms based on their performance of complex benchmark problems
Authors:   Department of Chemistry, National Institute of Technology Durgapur, West Bengal, India, Sadhu Tithli ,   Department of Biochemistry, School of Agriculture, SR University, Hanumakonda, Telangana, India, Chowdhury Somanth ,   Department of Chemical Engineering, National Institute of Technology Durgapur, West Bengal, India, Mondal Shubham ,   Department of Computer Science and Engineering, Institute of Engineering and Management Kolkata, West Bengal, India, Roy Jagannath ,   Department of Mathematics, National Institute of Technology Warangal, Telangana, India, Chakrabarty Jitamanyu ,   Department of Chemistry, National Institute of Technology Durgapur, West Bengal, India, Lahiri Sandip Kumar ,   Department of Chemical Engineering, National Institute of Technology Durgapur, West Bengal, India
Published: April 2023

Metaheuristic approaches with extremely important improvements are very promising in the solution of intractable optimization problems. The objective of the present study is to test the capability of applications and compare the performance of the four selected algorithms from “classical” (simulated annealing (SA), genetic algorithm (GA), particle swarm optimization (PSO), and differential evolution (DE)) and “new generation” (firefly algorithm (FFA), krill herd (KH), grey wolf optimization (GWO), and symbiotic organism search (SOS)) each by solving selected benchmark problems that are used in the literature for algorithm testing purpose. The selected test problems had very complex objective functions and associated constraints with multiple local optima. Among all selected algorithms, the “new generation” SOS and KH algorithm successfully solved most of all the selected benchmark problems and achieved the best solution for most of them. Among four “classical” algorithms, DE, and PSO effectively attained the optimal solution which was very close to the best one. However, the “new generation” algorithm performed much better than the “classical” one. Therefore, no firm conclusion can be done about the universally best algorithm and their performance may be varied for different benchmark problems. However, in this study for the seven selected test problems, SOS and KH exhibited the most promising result and great potential with respect to execution time also. This study gives some insights to use SOS and KH as the best-performing algorithms to the novice user who can easily get lost in the plethora of large optimization algorithms.
A new framework for green selection of material handling equipment under fuzzy environment
Authors:   Department of Mechanical Engineering, Haldia Institute of Technology, India, Bairagi Bipradas
Published: April 2023

In the rapidly changing global circumstances, managements of industrial organizations are making decisions for their survival in business atmosphere in future. Decision makers in industries are steering their respective organizations towards for appropriate decision making satisfying the condition of ‘Go green’. Appropriate decision making in fuzzy environment is always a hard task. The current investigation explores a new multi criteria decision making approach for green selection of material handling equipment under fuzzy environment. The proposed technique has the capability of capturing effects of economical, environmental and social factors of benefit, non-benefit and target based criteria under uncertainty and vague information. The proposed method is illustrated with a suitable example on material handling equipment selection under fuzzy environment. The result clearly shows that the proposed technique is useful and effective in the decision making process regarding green material handling selection under fuzzy environment.
Coordination of a single-manufacturer multi-retailer supply chain with price and green sensitive demand under stochastic lead time
Authors:   Department of Mathematics, Jadavpur University, Kolkata 700032, India, Dash Anamika , Giri Bibhas C. ,   Department of Mathematics, Jadavpur University, Kolkata 700032, India, Sarkar Ashis Kumar ,   Department of Mathematics, Jadavpur University, Kolkata 700032, India
Published: April 2023

When dealing with uncertainties in the supply chain and ensuring customer satisfaction, efficient management of lead time plays a significant role. Likewise, besides managing inventory and pricing strategies adeptly in multi-retailer supply chains, it has become inevitable for firms to embrace green and sustainable business practices. In this context, this paper considers a two-level supply chain consisting of a single manufacturer and multiple retailers in which the manufacturer produces a single product and delivers it to the retailers in equal-sized batches. Each retailer faces a price and green-sensitive market demand. The lead time is assumed to be a random variable that follows a normal distribution. Shortages for retailer inventory are allowed to occur and are completely backlogged. The centralized model and a decentralized model based on the leader-follower Stackelberg gaming approach are developed. A price discount mechanism between the manufacturer and retailers is proposed. For the acceptance of this contract, the upper and lower limits of the price discount rate are established. Numerical outcomes exhibit that the price discount mechanism effectively coordinates the supply chain and enhances both environmental and economical performances. A sensitivity analysis with respect to some key parameters is performed, and certain managerial insights are emphasized.
The significance of warehouse management in supply chain: An ISM approach
Authors:   School of Mechanical Engineering, KIIT University, India, Verma Ashutosh , Tripathy Sushanta ,   School of Mechanical Engineering, KIIT University, India, Singhal Deepak ,   School of Mechanical Engineering, KIIT University, India
Published: April 2023

Warehouse management is the key aspect for an uninterrupted flow of products within a supply chain. This paper deals with the critical factors that are responsible for creating an impactful influence on the working of warehouse management. The analysis involves the selection of critical factors then applying Interpretive Structural Modelling (ISM) methodology to them in order to get the level partition and final ISM model. This research also involves the MICMAC analysis on the factors which classifies all the selected factors into four groups namely, autonomous variables, dependent variables, linkage variables and driver variables. This research will help the supply chain architects to establish a better and reliable warehouse system. As this research involves analysis of multiple domains that is why a variety of users can refer to this work for their businesses, also the ISM approach gives a good accuracy of the hierarchy of the factors which helps in deciding the most effective chronology of the implementation of various warehousing operations. Researchers can also refer to this work to get insights of the significance of warehouse management in the supply chain and also the complete working of the ISM methodology.
Imprecise covering ring star problem
Authors:   School of Applied Science and Humanities, Haldia Institute of Technology, Haldia, India, Mukherjee Anupam , Barma Partha Sarathi ,   Center for Distance and Online Education, University of Burdwan, Burdwan, India, Dutta Joydeep ,   Department of Computer Science Kazi Nazrul University, Asansol, India, Das Sujit ,   National Institute of Technology Warangal, India, Pamucar Dragan ,   Department of Operations Research and Statistics, Faculty of Organizational Sciences, University of Belgrade, Belgrade, Serbia
Published: April 2023

In this paper, we formulate and solve an Imprecise Covering Ring Star Problem (ICRSP), which is a generalization of the Ring Star Problem (RSP). Here the objective of this problem is to find a subset of nodes in a network to minimize the sum of routing costs of interconnecting cycle and assignment costs of the nodes which are out of cycle, to their nearest concentrators such that no assigned node exceeds a predetermined distance (say, covering distance) from the concentrators. The covering distance, as well as the routing and assignments costs, are considered as fuzzy in the proposed ICRSP. A Modified Genetic Algorithm (MGA) is developed and used to solve this model for different confidence levels depending on the corresponding imprecise parameters, reducing it to deterministic form with fuzzy possibility and necessity approaches. Some comparisons with existing benchmark problems are made to justify the performance of the algorithm. As individual cases, some practical ICRSPs are also solved and presented numerically.
Hybridizations of Archimedean copula and generalized MSM operators and their applications in interactive decision-making with q-rung probabilistic dual hesitant fuzzy environment
Authors:   Department of Engg. Mathematics, College of Engg., Koneru Lakshmaiah Education Foundation, Vaddeswaram-522032, Andhra Pradesh, India, Anusha Gogineni , Ramana Paladugu Venkata ,   Department of Engg. Mathematics, College of Engg., Koneru Lakshmaiah Education Foundation, Vaddeswaram-522032, Andhra Pradesh, India, Sarkar Rupak ,   Department of Mathematics, Women’s Polytechnic, Hapania, Tripura, India
Published: April 2023

The q-rung probabilistic dual hesitant fuzzy sets (qRPDHFSs), which outperform dual hesitant fuzzy sets, probabilistic dual hesitant fuzzy sets, and probabilistic dual hesitant Pythagorean fuzzy sets, are used in this research to develop an interactive group decision-making approach. We first suggest the Archimedean Copula-based operations on q-rung probabilistic dual hesitant fuzzy (qRPDHF) components and investigate their key features before constructing the approach. We then create some new aggregation operators (AOs) in light of these operations, including the qRPDHF generalized Maclaurin symmetric mean (MSM) operator, qRPDHF geometric generalized MSM operator, qRPDHF weighted generalized MSM operator, and qRPDHF weighted generalized geometric generalized MSM operator. These aggregation operators are better than current operators on qRPDHF because they can take into account the interactions between a large number of criteria and probability distributions. The evaluation findings are distorted since the present methodologies do not take expert involvement into account in order to achieve the required consistency level. We employ the idea of interaction, consistency, resemblance, and consensus-building among the decision-makers in our method to get around this. We create an optimization model based on the cross-entropy of the qRPDHF components to estimate the weights of the criterion. We provide contextual research on the choice of open-source software LMS in order to demonstrate the relevance of the recommended AOs. Likewise, we ran a sensitivity test on the weights of the criterion to make sure that our model is consistent. The comparison investigation has demonstrated that the suggested approach can overcome the challenges of previous works.
Understanding and acceptance of systems engineering in automotive product development
Authors:   Széchenyi István University, Egyetem tér 1, H-9026, Győr, Hungary, Kolossváry Tamás , Feszty Dániel ,   Széchenyi István University, Egyetem tér 1, H-9026, Győr, Hungary, Filep Bálint ,   Széchenyi István University, Egyetem tér 1, H-9026, Győr, Hungary, Dőry Tibor ,   Széchenyi István University, Egyetem tér 1, H-9026, Győr, Hungary
Published: April 2023

Systems Engineering (SE) is a new engineering method for many firms in Automotive Product Development that expectedly advances their development processes to meet their stakeholder needs more effectively. Literature suggest that understanding and acceptance are key factors in the implementation, however comprehensive modes for their increase are barely discussed. In this paper, we propose a Participatory Action Research based on multiple research elements to find an effective technique for gaining understanding and acceptance on SE in a validated model environment of automotive industry called Formula SAE. We present practical outcomes at each steps of the implementation process and analyze the effect of improvements in the context of strategy, structure processes.
Zeghdοudi distribution in acceptance sampling plans based on truncated life tests with real data application
Authors:   Department of Mathematics, Umm-Al-Qura University, Makkah 24227, Saudi Arabia, AlSultan Rehab , Al-Omari Amer ,   Department of Mathematics, Faculty of Science, Al al-Bayt University, Mafraq, Jordan
Published: April 2023

The acceptance sampling plan (ASP) is one of the key statistics resources in the industrial sector. It entails the decision-making process for accepting or rejecting the products. The investigated quality parameter is the test unit's mean lifespan. This study develops a new ASP for Zeghdοudi distribution (ZD) when the lifetime is shortened to a specific degree. The optimal plan parameters are accomplished by obtaining the minimum sample size mandatory to ensure the identified mean lifetime for fixing the consumer's risk. Besides, the characteristic operating function (OCF) values for the ASP are displayed, and the producer's risk is determined. Several helpful tables are developed for the suggested ASP based on the ZD for suitable employment. An actual data set is fitted to the Zeghdoudi model and other models to examine the applicability of the suggested ASP in the production sector.
On the conformity of scales of multidimensional normalization: An application for the problems of decision making
Authors:   Ufa State Petroleum Technological University, Ufa, Russia, Mukhametzyanov Irik
Published: April 2023

The main goal of this paper is to harmonize the scales of normalized values of various attributes for multi-criteria decision-making models (MCDM). A class of models is considered in which the ranking of alternatives is performed based on the performance indicators of alternatives obtained by aggregating private attributes. The displacement of the domains of the normalized values of various attributes relative to each other and the local priorities of the alternatives are the main factors that change the rating when using various normalization methods. Three different linear transformations are proposed, which make it possible to bring the scales of normalized values of various attributes into conformity. The first transformation, the Reverse Sorting (ReS) algorithm, inverts the direction of optimization without displacing the areas of normalized values. The second transformation ‒ IZ-method ‒ allows researchers to align the boundaries of the domains of normalized values of various attributes in each range. The third transformation ‒ MS-method ‒ converts Z-scores into a sub-domain of the interval [0, 1] with the same mean values and the same variance values for all attributes. All transformations preserve the dispositions of the natural values of the attributes of the alternatives and ensure the equality of the contributions of various criteria to the performance indicator of the alternatives. The ReS-algorithm is universal for all normalization methods when converting cost attributes to benefit attributes. IZ and MS transformations expand the range of normalization methods when using nonlinear functions aggregation of attributes.
Logic behind the continuous growth across the s-curve - A method for the structured construction of a business growth flywheel model
Authors:   Emilio Aguinaldo College, Manila, Philippines, Dong Bo
Published: April 2023

Based on Amazon's successful business experience, the flywheel effect has proven to be an effective method for guiding companies across the S-curve. More scholars have investigated the flywheel model of business growth, which uses the flywheel effect to help companies achieve leapfrogging growth. More research is needed to determine whether the structured business growth model is universally applicable to different industries and stages of enterprise development. According to this study, in the VUCA era, businesses are forced to accelerate their transformation due to rapid changes in the competitive environment. A more agile approach to growth model optimization is required there. As a result, this study takes a traditional theory approach, and this research builds a flywheel model of enterprise growth on the original flywheel effect theory. The three-step method of producing the corporate growth flywheel model proposed in this study is validated by the empirical results of the case study, and the universality and operability of the structured business growth flywheel model are verified by the case study of the leading real estate intermediary company, Lianjia.
The contagion number: How fast can a disease spread?
Authors:   Statistics, Operations, and Data Science Department, Temple University, USA, Blessley Misty , Davila Randy ,   Computational and Applied Mathematics Department, Rice University, USA, Hale Trevor ,   Information and Operations Management Department, Texas A&M University, USA, Pepper Ryan ,   Mathematics and Statistics Department, University of Houston - Downtown, USA
Published: April 2023

The burning number of a graph models the rate at which a disease, information, or other externality can propagate across a network. The burning number is known to be NP-hard even for a tree. Herein, we define a relative of the burning number that we coin the contagion number (CN). We aver that the CN is a better metric to model disease spread than the burning number as it only counts first time infections (i.e., constrains a node from getting the same disease/same variant/same alarm more than once). This is important because the Centers for Disease Control and Prevention report that COVID-19 reinfections are rare. This paper delineates a method to solve for the contagion number of any tree, in polynomial time, which addresses how fast a disease could spread (i.e., a worst-cast analysis) and then employs simulation to determine the average contagion number (ACN) (i.e., a most-likely analysis) of how fast a disease would spread. The latter is analyzed on scale-free graphs, which are used to model human social networks generated through a preferential attachment mechanism. With CN differing across network structures and almost identical to ACN, our findings advance disease spread understanding and reveal the importance of network structure. In a borderless world without replete resources, understanding disease spread can do much to inform public policy and managerial decision makers’ allocation decisions. Furthermore, our direct interactions with supply chain executives at two COVID-19 vaccine developers provided practical grounding on what the results suggest for achieving social welfare objectives.
FDTI 2021-2023
Authors: SIANTURI HERY LEO
Published: April 2023

Dalam rangka meningkatkan mutu pelayanan dosen khususnya Tridarma perguruan tinggi diperlukan pengakuan kinerja sehingga dosen yang bersangkutan dapat meningkatkan kinerjanya.
Remote PPG Estimation using Emotion Analysis from Facial Videos
Authors: Ruiqi  , Zhou Yi , Long Matt
Published: April 2023

Studies in the field of automatic recognition of human emotions have demonstrated that changes in emotions can result in physiological responses in humans. In order to automatically recognize emotions, sensors are typically placed on the body to collect physiological data. However, recent research has shown that heart rate can be estimated from videos of human faces by analyzing changes in RGB color during the cardiac cycle, using a method known as photoplethysmography (PPG) signal extraction. This study proposes a novel approach to classifying human emotions using contactless PPG signals. The study tested various PPG signal extraction methods using a popular emotional database and utilized a deep learning architecture, which combined a 1D convolutional neural network (1DCNN) and a long short-term memory (LSTM), for classification. The method achieved a recognition rate of 72.3\% and 67.8\% for binary classification of valence and arousal, respectively, with a signal segmentation of 5 seconds. It is important to note that the primary goal of this study is to introduce a new technique for automatic emotion recognition using deep learning and contactless sensing of physiological signals.
Sertifikat The 1st
Authors: SIANTURI HERY LEO
Published: April 2023

Dalam rangka meningkatkan mutu pelayanan dosen khususnya Tridarma perguruan tinggi diperlukan pengakuan kinerja sehingga dosen yang bersangkutan dapat meningkatkan kinerjanya.
kopertis, lembaga, fungsional
Authors: SIANTURI HERY LEO
Published: April 2023

Dalam rangka meningkatkan mutu pelayanan dosen khususnya Tridarma perguruan tinggi diperlukan pengakuan kinerja sehingga dosen yang bersangkutan dapat meningkatkan kinerjanya.
Differential expression of TSPAN9 in cancer of the head and neck: oral squamous cell carcinoma.
Authors: Mamoor Shahan
Published: April 2023

Head and neck cancers are an emerging public health problem and most are now thought to be caused by high-risk human papillomavirus infection (1-3). We mined public microarray datasets (4, 5) to determine in an unbiased fashion and at the level of the transcriptome genes most differentially expressed in the primary tumors of patients with oral squamous cell carcinoma (OSCC). We found significant differential expression of the gene encoding tetraspanin 9, TSPAN9, when comparing OSCC tumor tissue to the tissue of origin. TSPAN9 mRNA was present at significantly higher quantities in tumors of the head and neck as compared to normal tissues from the head and neck. Analysis of human survival data revealed that expression of TSPAN9 in head and neck tumors was correlated with overall survival in patients with head and neck cancer. TSPAN9 expression changes may be important for the initiation or progression of human OSCC.
Pengayaan Konseptual
Authors: SIANTURI HERY LEO
Published: April 2023

Dalam rangka meningkatkan mutu pelayanan dosen khususnya Tridarma perguruan tinggi diperlukan pengakuan kinerja sehingga dosen yang bersangkutan dapat meningkatkan kinerjanya.
Is ChatGPT Biased? A Review
Authors: Singh Sahib , Ramakrishnan Narayanan
Published: April 2023

The release of ChatGPT, natural language based platform by OpenAI, has taken the industry by storm. It can understand and generate human-like responses to a wide range of topics with remarkable accuracy. This includes answering questions, writing essays, solving mathematics problems, writing code and even assisting with everyday tasks. However, like any other AI powered platform, it’s prone to various biases. The literature focuses on reviewing some of the biases ChatGPT has witnessed post its release. While biases can be of various types, our work focuses on addressing biases related to Race, Gender, Religious Affiliation, Political Ideology and Fairness. We try to understand how ChatGPT responds in scenarios corresponding to these biases prevalent in the real world.
Harteknas
Authors: SIANTURI HERY LEO
Published: April 2023

Dalam rangka meningkatkan mutu pelayanan dosen khususnya Tridarma perguruan tinggi diperlukan pengakuan kinerja sehingga dosen yang bersangkutan dapat meningkatkan kinerjanya.
Differential expression of DAAM1 in cancer of the head and neck: oral squamous cell carcinoma.
Authors: Mamoor Shahan
Published: April 2023

Head and neck cancers are an emerging public health problem and most are now thought to be caused by high-risk human papillomavirus infection (1-3). We mined public microarray datasets (4, 5) to determine in an unbiased fashion and at the level of the transcriptome genes most differentially expressed in the primary tumors of patients with oral squamous cell carcinoma (OSCC). We found significant differential expression of the gene encoding dishevelled associated activator of morphogenesis 1, DAAM1, when comparing OSCC tumor tissue to the tissue of origin. DAAM1 mRNA was present at significantly lower quantities in tumors of the head and neck as compared to normal tissues from the head and neck. Analysis of human survival data revealed that expression of DAAM1 in head and neck tumors was correlated with overall survival in patients with head and neck cancer in those whose tumors were relatively enriched with regulatory T cells. DAAM1 expression changes may be important for the initiation or progression of human OSCC.
Differential expression of TYRO3 in cancer of the head and neck: oral squamous cell carcinoma.
Authors: Mamoor Shahan
Published: April 2023

Head and neck cancers are an emerging public health problem and most are now thought to be caused by high-risk human papillomavirus infection (1-3). We mined public microarray datasets (4, 5) to determine in an unbiased fashion and at the level of the transcriptome genes most differentially expressed in the primary tumors of patients with oral squamous cell carcinoma (OSCC). We found significant differential expression of the gene encoding TYRO3 protein tyrosine kinase, TYRO3, when comparing OSCC tumor tissue to the tissue of origin. TYRO3 mRNA was present at significantly lower quantities in tumors of the head and neck as compared to normal tissues from the head and neck. Analysis of human survival data revealed that expression of TYRO3 in head and neck tumors was correlated with overall survival in patients with head and neck cancer in those whose tumors were relatively enriched with CD4+ T cells. TYRO3 expression changes may be important for the initiation or progression of human OSCC.
Differential expression of ADH1B in cancer of the head and neck: oral squamous cell carcinoma.
Authors: Mamoor Shahan
Published: April 2023

Head and neck cancers are an emerging public health problem and most are now thought to be caused by high-risk human papillomavirus infection (1-3). We mined published and public microarray datasets (4, 5) to determine in an unbiased fashion and at the level of the transcriptome genes most differentially expressed in the primary tumors of patients with oral squamous cell carcinoma (OSCC). We found significant differential expression of the gene encoding alcohol dehydrogenase 1B (class I), beta polypeptide, ADH1B, when comparing OSCC tumor tissue to the tissue of origin. ADH1B mRNA was present at significantly lower quantities in tumors of the head and neck as compared to normal tissues from the head and neck. Analysis of human survival data revealed that expression of ADH1B in head and neck tumors was correlated with recurrence-free survival in patients with head and neck cancer. ADH1B expression changes may be important for the initiation or progression of human OSCC.
Differential expression of MTMR3 in cancer of the head and neck: oral squamous cell carcinoma.
Authors: Mamoor Shahan
Published: April 2023

Head and neck cancers are an emerging public health problem and most are now thought to be caused by high-risk human papillomavirus infection (1-3). We mined public microarray datasets (4, 5) to determine in an unbiased fashion and at the level of the transcriptome genes most differentially expressed in the primary tumors of patients with oral squamous cell carcinoma (OSCC). We found significant differential expression of the gene encoding myotubularin-related protein 3, MTMR3, when comparing OSCC tumor tissue to the tissue of origin. MTMR3 mRNA was present at significantly lower quantities in tumors of the head and neck as compared to normal tissues from the head and neck. Analysis of human survival data revealed that expression of MTMR3 in head and neck tumors was correlated with overall survival in patients with head and neck cancer. MTMR3 expression changes may be important for the initiation or progression of human OSCC.
Differential expression of IFITM3 in cancer of the head and neck: oral squamous cell carcinoma.
Authors: Mamoor Shahan
Published: April 2023

Head and neck cancers are an emerging public health problem and most are now thought to be caused by high-risk human papillomavirus infection (1-3). We mined public microarray datasets (4, 5) to determine in an unbiased fashion and at the level of the transcriptome genes most differentially expressed in the primary tumors of patients with oral squamous cell carcinoma (OSCC). We found significant differential expression of the gene encoding interferon-induced transmembrane protein 3, IFITM3, when comparing OSCC tumor tissue to the tissue of origin. IFITM3 mRNA was present at significantly higher quantities in tumors of the head and neck as compared to normal tissues from the head and neck. Analysis of human survival data revealed that expression of IFITM3 in head and neck tumors was correlated with overall survival in patients with head and neck cancer. IFITM3 expression changes may be important for the initiation or progression of human OSCC.
SK Dekan No. 32 Tahun 2012
Authors: SIANTURI HERY LEO
Published: April 2023

Dalam rangka meningkatkan mutu pelayanan dosen khususnya Tridarma perguruan tinggi diperlukan pengakuan kinerja sehingga dosen yang bersangkutan dapat meningkatkan kinerjanya.
Penelitian Empirik Komisi IV DPD RI
Authors: SIANTURI HERY LEO
Published: April 2023

Dalam rangka meningkatkan mutu pelayanan dosen khususnya Tridarma perguruan tinggi diperlukan pengakuan kinerja sehingga dosen yang bersangkutan dapat meningkatkan kinerjanya.
Phonetic potential of primate vocal tracts and the legacy of Philip Lieberman (1934–2022): Refuting purported challenges and reconciling recent findings
Authors: Ekström Axel G.
Published: April 2023

The phonetic potential of nonhuman primate vocal tracts has been the subject of considerable contention in recent literature. Here, the work of Philip Lieberman (1934-2022) is considered at length, and two research papers – both purported challenges to Lieberman’s theoretical work – and a review of Lieberman’s scientific legacy are critically examined. I argue that various aspects of Lieberman’s work, based on the ‘quantal theory of speech’, have been consistently misinterpreted in the literature. A paper by Fitch et al. (2016) overestimates would-be ‘speech-ready’ capacities of a rhesus macaque and the data presented nonetheless supports Lieberman’s principal position – that nonhuman primates cannot articulate ‘quantal’ vowels. The suggestion that no vocal anatomical evolution was necessary for the evolution of human speech (as spoken by all normally developing humans) is not supported by phonetic or anatomical data. The second challenge, by Boë et al. (2017), attribute vowel-like qualities of baboon calls to articulatory capacities based on audio data; I argue that such ‘protovocalic’ properties likely result from disparate articulatory maneuvers, compared to human speakers. The review of Lieberman’s scientific legacy by Boë et al. (2019) ascribes a view of speech evolution (which the authors term ‘laryngeal descent theory’) to Lieberman which directly contradicts Lieberman’s writings. This review documents a pattern of incorrect interpretations of Lieberman’s theoretical work in recent literature. Finally, the apparent trend of [u]-like formant dispersions in great ape vocalization literature is discussed with regards to Lieberman’s theoretical work. The review concludes that the ‘Lieberman account’ of primate vocal tract phonetic capacities remains supported by research: articulation of fully ‘quantal’ vowels is a unique feature of human speech production, reflecting species-unique anatomy.
Laporan PKM
Authors: SIANTURI HERY LEO
Published: April 2023

Dalam rangka meningkatkan mutu pelayanan dosen khususnya Tridarma perguruan tinggi diperlukan pengakuan kinerja sehingga dosen yang bersangkutan dapat meningkatkan kinerjanya.
Differential expression of IGSF10 in cancer of the head and neck: oral squamous cell carcinoma.
Authors: Mamoor Shahan
Published: April 2023

Head and neck cancers are an emerging public health problem and most are now thought to be caused by high-risk human papillomavirus infection (1-3). We mined published and public microarray datasets (4, 5) to determine in an unbiased fashion and at the level of the transcriptome genes most differentially expressed in the primary tumors of patients with oral squamous cell carcinoma (OSCC). We found significant differential expression of the gene encoding immunoglobulin superfamily member 10, IGSF10, when comparing OSCC tumor tissue to the tissue of origin. IGSF10 mRNA was present at significantly lower quantities in tumors of the head and neck as compared to normal tissues from the head and neck. IGSF10 expression changes may be important for the initiation or progression of human OSCC.
FDTI2017-2019
Authors: SIANTURI HERY LEO
Published: April 2023

Dalam rangka meningkatkan mutu pelayanan dosen khususnya Tridarma perguruan tinggi diperlukan pengakuan kinerja sehingga dosen yang bersangkutan dapat meningkatkan kinerjanya.
Asesor BKD SanPedro
Authors: SIANTURI HERY LEO
Published: April 2023

Dalam rangka meningkatkan mutu pelayanan dosen khususnya Tridarma perguruan tinggi diperlukan pengakuan kinerja sehingga dosen yang bersangkutan dapat meningkatkan kinerjanya.
QGIS
Authors: SIANTURI HERY LEO
Published: April 2023

Dalam rangka meningkatkan mutu pelayanan dosen khususnya Tridarma perguruan tinggi diperlukan pengakuan kinerja sehingga dosen yang bersangkutan dapat meningkatkan kinerjanya.
Kordinator UN SMA
Authors: SIANTURI HERY LEO
Published: April 2023

Dalam rangka meningkatkan mutu pelayanan dosen khususnya Tridarma perguruan tinggi diperlukan pengakuan kinerja sehingga dosen yang bersangkutan dapat meningkatkan kinerjanya.
Differential expression of FMO9P in cancer of the head and neck: oral squamous cell carcinoma.
Authors: Mamoor Shahan
Published: April 2023

Head and neck cancers are an emerging public health problem and most are now thought to be caused by high-risk human papillomavirus infection (1-3). We mined public microarray datasets (4, 5) to determine in an unbiased fashion and at the level of the transcriptome genes most differentially expressed in the primary tumors of patients with oral squamous cell carcinoma (OSCC). We found significant differential expression of the gene encoding flavin-containing monooxygenase 9 pseudogene, FMO9P, when comparing OSCC tumor tissue to the tissue of origin. FMO9P mRNA was present at significantly lower quantities in tumors of the head and neck as compared to normal tissues from the head and neck. FMO9P expression changes may be important for the initiation or progression of human OSCC.
The near-suicide phenomenon study surpassed the 100,000-view milestone: In the cause of medical humanities
Authors: Team AISDL
Published: April 2023

The AISDL Team is delighted to celebrate the event of our study, titled “Near-Suicide Phenomenon: An Investigation into the Psychology of Patients with Serious Illnesses Withdrawing from Treatment,” surpassing the 100,000-view landmark at 22:20 Hanoi time, April 7, 2023. This unthinkable event occurred only 24 days after publication.
Ensiklopedi Kitab-Kitab Rijal Hadis Digital
Authors: ALIF MUHAMMAD
Published: April 2023

Kitab-kitab Rijal Hadis berjumlah dua ratusan lebih. Sebagian kontennya sudah dibuatkan databasenya dan ditayangkan di website-website, seperti: sonnaonline.com, hawramani.com, hadith.islam-db.com, sunnah.alifta.gov.sa, muslimscholars.info. Namun sesuai tuntutan karya ilmiah kontemporer yang mengharuskan sitasi dengan meneger referensi, database-database tersebut harus dicari orisinalitasnya pada kitab-kitab rijal hadis cetak. Tulisan ini berisi tentang daftar kitab-kitab rijal daring dengan penomoran halaman sesuai versi cetak. Daftar kitab-kitab ini disusun sesuai pembagian Ilmu Rijāl al-Ḥadīṡ: Ilmu Tārīkh al-Ruwāt dan Ilmu al-Jarḥ wa al-Taʻdīl beserta trend-trend sistematika kitab dalam tradisi ilmu rijal hadis.
PIC OSN
Authors: SIANTURI HERY LEO
Published: April 2023

Dalam rangka meningkatkan mutu pelayanan dosen khususnya Tridarma perguruan tinggi diperlukan pengakuan kinerja sehingga dosen yang bersangkutan dapat meningkatkan kinerjanya.
Resurrecting Gaia: Harnessing the Free Energy Principle to Preserve Life as We Know It
Authors: Montgomery Caspar , Hipólito Inês
Published: April 2023

This paper applies the Free Energy Principle (FEP) to propose that the lack of action in response to climate change should be considered a maladaptive symptom of human activity that we refer to as biophilia deficiency syndrome. The paper is organised into four parts: the characterisation of the natural world under the Gaia Hypothesis, the employment of the FEP as a description of the behaviour of self-organising systems, the application of the FEP to Gaia to understand coupling dynamics between living systems and purportedly non-living planetary processes, and the offering of positive interventions for addressing the current state of ecological crisis under this framework. For the latter, we emphasise the importance of perturbing stuck states for healthy development, and the necessary appreciation of life existing as nested systems at multiple levels in a hierarchy. We propose the development of human biophilia virtue in accordance with the FEP as a practical intervention for treating biophilia deficiency syndrome and helping to safeguard the balance of planetary processes and the integrity of living systems that depend on them, offering some examples of what this might look like in practice. Overall, this paper provides novel insights into how to catalyse meaningful ecological change, proposing a deliberate and disruptive approach to addressing the dysfunctional relationship between humans and the rest of the natural world.
Emotional tears: What they are and how they work
Authors: Sznycer Daniel , Gracanin Asmir , Lieberman Debra
Published: April 2023

Although much is known about emotional tears from the perspectives of neurobiology and behavior, the production of emotional tears and the responses they elicit depend sensitively on a rich set of computations—one which has received little attention to date. This review article aims to close this gap. Emotional tearing occurs during negative events (e.g., injuries) and positive events (e.g., achievements). Episodes of tearing appear to be united by tearers’ subjective imputation of negative or positive value to certain internal or external phenomena. Knowing the degree to which objects, organisms, events, and states of affairs enhance or diminish one’s prospects—the value of things—is a pressing matter for humans and other organisms. Value information is produced for internal consumption, to be used by behavior-regulating mechanisms in the focal individual. But some evaluations are made available, in addition, to other people, through tearing and other forms of verbal and nonverbal communication. Tearing may function as an implicit plea for receivers (the tear targets) to minimize the costs imposed on the tearer by nature, by third-parties, or by the tear targets themselves—common when the tearer has lower formidability or wherewithal than tear targets do. In addition, tearing may exhort tear targets to infer and register which things the tearer values, positively or negatively. Here, we characterize tears, describe the game-theoretic logic of bargaining from a position of weakness, outline the computational systems that regulate the production of and responses to emotional tears, and review findings about emotional tearing that are relevant to the signaling hypothesis.
Smartphone-Nutzung reduzieren durch one sec
Authors: Grüning David Joachim , Riedel Frederik , Lorenz-Spreen Philipp
Published: April 2023

Übermäßige Smartphone-Nutzung kann negative Effekte auf die physische und mentale Gesundheit haben. Dabei kommt es allerdings darauf an, ob die Nutzung automatisch oder geplant und bewusst ist. Die App one sec interveniert beim Öffnen von Smartphone-Apps, um den automatischen Konsum zu reduzieren. In den Anwendungsbereich von one sec fallen soziale Medien, News, Spiele, Dating-Apps, Video-Streaming und auch Pornografie. In einer Studie der Universität Heidelberg und des Max-Planck-Instituts für Bildungsforschung Berlin zeigt sich, dass one sec die App-Öffnungen von Nutzer*innen in nur 6 Wochen um 57% reduziert.
Secondary School Fee Abolition in Sub-Saharan Africa: Taking Stock of the Evidence
Authors: Gruijters Rob J. , Abango Mohammed A , Casely-Hayford Leslie
Published: April 2023

Many African countries have abolished secondary school fees in recent years, but there is no systematic evidence on the impact and equity implications of these initiatives. In this study, we take stock of fee-free secondary education (FSE) initiatives in the region and review their impact on equitable access and achievement, as well as their cost-effectiveness. We begin by discussing the theoretical arguments for and against the abolition of secondary school fees. Second, we examine aggregate statistics on enrollment and transition rates and find that primary school completion remains far from universal in most countries in the region, meaning that most low-income children are currently ineligible for free secondary education. Third, we provide a comprehensive overview of the existing FSE policies in sub-Saharan Africa, showing that almost half of all countries in the region have abolished secondary school fees in the last two decades. Finally, we systematically review empirical evidence on the impact and effectiveness of recent FSE initiatives. We conclude that free secondary education is an appropriate long-term goal for education systems, but can be costly and inequitable in the short run, especially if it diverts resources from primary education. Our review suggests four concrete recommendations for policymakers that are broadly aligned with the principle of ‘progressive universalism’ in improving access to education.
Can AI Write Persuasive Propaganda?
Authors: Goldstein Josh A. , Chao Jason , Grossman Shelby , Stamos Alex , Tomz Michael
Published: April 2023

Can large language models, a form of artificial intelligence, write persuasive propaganda? We conducted a pre-registered survey experiment to investigate the persuasiveness of news articles written by foreign propagandists compared to content written by GPT-3 davinci (a large language model). We found that GPT-3 can write highly persuasive text. We investigated whether a person fluent in English could improve propaganda persuasiveness: editing the prompt fed to GPT-3 or curating GPT-3's output made GPT-3 even more persuasive, and, under certain conditions, as persuasive as the original propaganda. Our findings suggest that if propagandists get access to GPT-3-like models, they could create convincing content with limited effort.
Technology Integration and English Language Teaching in the Libyan Context.
Authors: ABDELATY SULIMAN , Saleh Faiza
Published: April 2023

This research paper explores the role of technology integration in English language teaching (ELT) within the Libyan context. The study investigates the current state of technology usage, the benefits and challenges associated with technology integration, and the potential strategies for enhancing ELT practices. By analyzing survey data collected from Libyan English teachers and students, as well as conducting interviews with key stakeholders, the paper highlights the need for appropriate training, infrastructure, and policies to support the effective use of technology in ELT.
Demographic Perspectives on Predicting Individual-level Mortality
Authors: Breen Casey , Seltzer Nathan
Published: April 2023

There are striking disparities in longevity across sociodemographic groups in the United States. Yet, can sociodemographic characteristics meaningfully explain individual-level variation in longevity? Here, we leverage machine-learning algorithms and large-scale administrative data to predict individual-level mortality using an array of social, economic, and demographic predictors measured in early adulthood. We conduct two distinct analyses: a cohort analysis, which predicts the exact age of death for individuals in the same birth cohort, and a period analysis, which predicts whether individuals age 54–95 will die within the next 10 years. We are not able to make accurate predictions in either our cohort analysis (R2= 0.014) or our period analysis (R2= 0.166).Together, these analyses demonstrate that later life longevity is unpredictable using sociodemographic characteristics alone, and underscore the crucial need to account for stochastic processes in demographic theory
SUBREGIONAL FEATURES OF ENTREPRENEURSHIP DEVELOPMENT IN THE RECREATIONAL SPHERE
Authors: Pavlenko Irina , Bukreev Igor
Published: April 2023

Introduction. The development of the sub-regions of the Republic of Crimea is characterized by a difference in the performance indicators of the enterprises of the tourism industry. The paper examines the differences in the efficiency of the activities of tourism enterprises in the Crimean subregions. Resource asymmetry in the region is considered as such reasons. Methodology. As a correlation with the territorial concentration of resources, the return on total capital is used, which characterizes the efficiency of the use of all assets of the enterprise. The study used methods of correlation analysis to establish this relationship, where the factor (cause) indicator is the resource asymmetry of the region. Other methods of statistical research (sampling, data grouping) and general scientific methods (analysis, synthesis, systematization) were also used. Results. As a result of the study, one can note a higher efficiency of enterprises in subregions with a greater concentration of potential. Territorial concentration of potential characterizes unequal conditions for the development of enterprises in subregions. As a result, Greater Yalta, Greater Alushta and Feodosia are developing at a faster pace than other sub-regions of the Republic of Crimea. It has been established that subregions with a high level of concentration of natural and historical and cultural potential are characterized by a higher efficiency of tourism enterprises in the subregions. The result of assessing the dependence of the return on total capital and the level of territorial concentration of natural and historical and cultural potential turned out to be 0.73, which indicates a close connection between the indicators, assessed on the Chaddock scale. Conclusions. The results of the study can be used in planning the development of areas of activity and types of recreation in the Crimean territory in accordance with its resource asymmetry. This study is necessary to assess the prospects for the development of the tourism industry in the region as a whole.
THE PROBLEM OF FORMATION OF ADMINISTRATIVE COMPETENCE OF STATE AND MUNICIPAL EMPLOYEES OF THE REGION
Authors: Nekhaychuk Yulia , Nekhaychuk Dmitry
Published: April 2023

Introduction. The scientific research is devoted to the issues of scientific and methodological substantiation of the formation and development of the administrative competence of state and municipal employees in the institutional system of advanced training. Methods. The study is based on a wide range of general scientific and narrow-profile methods, such as semantic analysis and synthesis, abstract-logical, system analysis, and others. Results. It is proved that state authorities and local governments, on the one hand, need the operational activities of their employees, and on the other hand, they are forced to ensure the professional growth of their employees in accordance with the law and the requirements of modern management. The practical aspects of the study consist in studying the assessments of course participants of the benefits of attending advanced training courses from the standpoint of their narrow professional specialization, as well as from the point of view of their personal interests. Conclusions. The main problems of advanced training, the educational needs of state and municipal employees in obtaining practice-oriented knowledge, and the features of the formation of the content of training programs are clarified.