bluuebunny/crossref_metadata_2025 huggingface dataset:
Low Prevalence of Pre-Treatment and Acquired Drug Resistance to Dolutegravir among Treatment Naïve Individuals Initiating on Tenofovir, Lamivudine and Dolutegravir in Zimbabwe
Authors: Kouamou Vinie , Washaya Tendai , Ndhlovu Chiratidzo Ellen , Manasa Justen
Published: September 2023

Dolutegravir (DTG) use in combination with tenofovir and lamivudine (TLD) is scaling up in Africa. However, HIV drug resistance (HIVDR) data to DTG remain scarce in Zimbabwe. We assessed the prevalence and genetic mechanisms of DTG resistance in people living with HIV initiating on TLD. A prospective cohort study was conducted between October 2021 and April 2023 among antiretroviral therapy (ART) naïve adults (≥18 years) attending care at an HIV clinic in Zimbabwe. Pre-treatment drug resistance (PDR) was assessed prior to TLD initiation and viral load (VL) outcome and acquired drug resistance (ADR) to TLD were described after 24 weeks follow-up. In total, 172 participants were enrolled in the study. The median (IQR) age and log10 VL were 39 (29–48) years and 5.41 (4.80–5.74) copies/mL, respectively. At baseline, no PDR to DTG was found. However, as previously reported, PDR to non-nucleotide reverse transcriptase inhibitor (NNRTI) was high (15%) whilst PDR to NRTI was low (4%). After a median duration of 27 (25–30) weeks on TLD, virological suppression (VL < 1000 copies/mL) was 98% and among the 2 participants with VL ≥ 1000 copies/mL, no ADR was found. HIVDR to DTG is rare among ART naïve individuals. DTG is more likely to address the problems of HIVDR in Africa.
Epidermal Growth Factor Receptor-Targeted Neoantigen Peptide Vaccination for the Treatment of Non-Small Cell Lung Cancer and Glioblastoma
Authors: Li Fenge , Wu Huancheng , Du Xueming , Sun Yimo , Rausseo Barbara Nassif , Talukder Amjad , Katailiha Arjun , Elzohary Lama , Wang Yupeng , Wang Zhiyu , Lizée Gregory
Published: September 2023

The epidermal growth factor receptor (EGFR) plays crucial roles in several important biological functions such as embryogenesis, epithelial tissue development, and cellular regeneration. However, in multiple solid tumor types overexpression and/or activating mutations of the EGFR gene frequently occur, thus hijacking the EGFR signaling pathway to promote tumorigenesis. Non-small cell lung cancer (NSCLC) tumors in particular often contain prevalent and shared EGFR mutations that provide an ideal source for public neoantigens (NeoAg). Studies in both humans and animal models have confirmed the immunogenicity of some of these NeoAg peptides, suggesting that they may constitute viable targets for cancer immunotherapies. Peptide vaccines targeting mutated EGFR have been tested in multiple clinical trials, demonstrating an excellent safety profile and encouraging clinical efficacy. For example, the CDX-110 (rindopepimut) NeoAg peptide vaccine derived from the EGFRvIII deletion mutant in combination with temozolomide and radiotherapy has shown efficacy in treating EGFRvIII-harboring glioblastoma multiforme (GBM) patients undergone surgery in multiple Phase I and II clinical trials. Furthermore, pilot clinical trials that have administered personalized NeoAg peptides for treating advanced-stage NSCLC patients have shown this approach to be a feasible and safe method to increase antitumor immune responses. Amongst the vaccine peptides administered, EGFR mutation-targeting NeoAgs induced the strongest T cell-mediated immune responses in patients and were also associated with objective clinical responses, implying a promising future for NeoAg peptide vaccines for treating NSCLC patients with selected EGFR mutations. The efficacy of NeoAg-targeting peptide vaccines may be further improved by combining with other modalities such as tyrosine kinase or immune checkpoint inhibitor (ICI) therapy, which are currently being tested in animal models and clinical trials. Herein, we review the most current basic and clinical research progress on EGFR-targeted peptide vaccination for the treatment of NSCLC and other solid tumor types.
Dissipation of Eutrophic Substances in Grass Carp Aquaculture Pond Water by Ozone
Authors: Chen Zhe , Liu Xingguo , Cheng Xiangyu , Guo Zeyu
Published: September 2023

Suspended solids (SS) have become the main cause of water quality deterioration in aquaculture ponds. The application of ozone to aquaculture water bodies can improve the water quality and facilitate the removal of suspended solids. We used different concentrations of ozone to oxidize aquaculture water and then determined the resulting concentration of suspended solids and their particle size distribution, as well as CODMn, UV254, algal density, and nitrogen content. The results showed the following: (i) The decrease in SS was the highest, amounting to 10.47%, after the addition of 2 mg/L of ozone and the completion of the oxidation reaction. Ozone caused the fragmentation of large SS particles and the flocculation of small particles, and these effects became more pronounced as the ozone concentration increased; (ii) After the introduction of ozone, the humus macromolecules naturally present in the water were oxidized, which improved the biochemical degradation of the water pollutants; (iii) Ozone oxidation caused the degradation of algae, resulting in a decrease in phytoplankton biomass and in the eutrophication of the water body; (iv) As the ozone concentration increased, the level of nitrous nitrogen decreased, while the concentrations of nitrate nitrogen and ammonia nitrogen were unchanged. The highest increase in total nitrogen was measured when 0.5 mg/L of ozone was applied. This study provides a theoretical basis for the application of ozone to eliminate eutrophic substances in freshwater ponds.
Cross-Comparison of the “BathySent” Coastal Bathymetry to Sonar Measurements and Ratio Model Technique: Pilot Sites in the Aegean Sea (Greece)
Authors: Drakopoulou Paraskevi , Panagiotopoulos Ioannis P. , de Michele Marcello , Kapsimalis Vassilios , Raucoules Daniel , Foumelis Michael , Morfis Ioannis , Livanos Isidoros , Sakellariou Dimitris , Vandarakis Dimitrios
Published: September 2023

The proposed novel “BathySent” approach for coastal bathymetric mapping, using the Copernicus Sentinel-2 mission, as well as the assessment and specification of the uncertainties of the derived depth results, are the objectives of this research effort. For this reason, Sentinel-2 bathymetry retrieval results for three different pilot sites in Greece (islands of Kos, Kasos, and Crete) were compared with ground-truth data. These data comprised high-resolution swath bathymetry measurements, single-beam echosounder measurements at very shallow waters (1–10 m), and the EMODnet DTM 2018 release. The synthetic tests showed that the “BathySent” approach could restitute bathymetry in the range of 5–14 m depth, showing a standard deviation of 2 m with respect to the sonar-based bathymetry. In addition, a comparison with the “ratio model” multispectral technique was performed. The absolute differences between conventional Earth Observation-based bathymetry retrieval approaches (i.e., linear ratio model) and the suggested innovative solution, using the Sentinel-2 data, were mainly lower than 2 m. According to the outcome evaluation, both models were considered to provide results that are more reliable within the depth zone of 5–25 m. The “ratio model” technique exhibits a saturation at ~25 m depth and demands ground calibration. Though, the “BathySent” method provides bathymetric data at a lower spatial resolution compared to the “ratio model” technique; however, it does not require in situ calibration and can also perform reliably deeper than 25 m.
Risk Assessment and Control of Geological Hazards in Towns of Complex Mountainous Areas Based on Remote Sensing and Geological Survey
Authors: Ding Weicui , Wang Gaofeng , Yang Qiang , Xu Youning , Gao Youlong , Chen Xuanhua , Xu Shenglin , Han Lele , Yang Xinru
Published: September 2023

Mountainous areas have become among the most developed areas of geological hazards due to special geological environmental conditions and intensive human engineering activities. Geological hazards are a main threat to urbanization, rural revitalization, and new rural construction in complex mountainous areas. It is of great strategic significance to conduct large-scale geological hazard investigation and risk assessment in urban areas, control the risk of geological hazards at the source and propose risk control measures. In this paper, we established the technical methods of geologic hazard risk assessment and control in complex mountain towns by taking Longlin Town in the mountainous region of Gansu Longnan, China as the study area, with the Quanjia bay debris flows and Panping Village landslides as the typical pilot investigation and assessment. The methods consist of six stages—risk identification, hazard disaster model investigation, risk analysis, vulnerability assessment, risk evaluation and risk management and control measures and proposals. On this basis, the results of geological hazards with different precipitation frequencies (5%, 2%, 1%) are presented. The results show that 75.23% of the regions remained at low risk levels; 24.38% of the regions increased a risk level with decreasing precipitation frequency, and 0.39% of the regions remained at extremely high risk levels under different precipitation frequency conditions. For the Quanjia bay debris flows and Panping Village landslides case, we discussed the geological hazards risk source control contents, management and control technologies, engineering and non-engineering measures of disaster prevention and control for urban disasters and specific disaster areas. This research can provide technical support and reference for disaster prevention and mitigation, and territorial spatial planning.
Customer Complaints-Based Water Quality Analysis
Authors: Balta Kaç Seda , Eken Süleyman
Published: September 2023

Social media has become a useful instrument and forum for expressing worries about various difficulties and day-to-day concerns. The pertinent postings containing people’s complaints about water quality as an additional source of information can be automatically acquired/retrieved and analyzed using natural language processing and machine learning approaches. In this paper, we search social media for a water quality analysis and propose a scalable messaging system for quality-related issues to the subscribers. We classify the WaterQualityTweets dataset, our newly collected collection, in two phases. In the first phase, tweets are classified into two classes (water quality-related or not). In the second phase, water quality-related issues are classified into four classes (color, illness, odor/taste, and unusual state). The best performance results are BERT and CNN, respectively, for binary and multi-class classification. Also, these issues are sent to different subscribers via a topic-based system with their location and timing information. Depending on the topics that online users are interested in, some information spreads faster than others. In our dataset, we also predict the information diffusion to understand water quality issues’ spreading. The time and effort required for manual comments obtained through crowd-sourcing techniques will significantly decline as a result of this automatic analysis of water quality issues.
Genotoxic Effects on Daphnia magna Fed with Aquatic Green Algae Exposed to Silver Nanoclusters
Authors: Zhang Li , Tan Haoqiang
Published: September 2023

Ag nanoclusters (AgNCs) have gained widespread applications in recent years due to their excellent antimicrobial efficacy and distinctive molecule-like characteristics. However, concerns about their potential effects on environmental and human health have been raised. Despite the fact that abundant research has been carried out to examine the possible ecotoxicology of AgNCs in a variety of living organisms, these studies have mostly concentrated on the toxicology of individual organisms and only a few have attempted to look into the impact of AgNCs across the aquatic food chain. This work evaluated the transcriptome level genotoxicity of AgNCs and their degraded Ag ions in two model species food chains: the aquatic green algae Scenedesmus obliquus and the invertebrate Daphnia magna. Daphnia magna’s digestive system and glycerophospholipid metabolism were hindered after feeding on Ag-containing algae as a result of down-regulation of the crucial gene PLA2G(SPLA2) that codes for secretory phospholipase A2. Our research also showed that the genotoxicity of AgNCs to Daphnia magna was mediated by a synergic interaction between the particulate form of AgNCs and their degraded Ag ions. The current work offers a fresh viewpoint on the mechanisms underlying AgNCs’ harmful effects and the possible ecological concern that metal-based nanoparticles provide to aquatic life.
A New Analytical Method for Calculating Subsidence Resulting by Fluid Withdrawal from Disk-Shaped Confined Aquifers
Authors: Gravanis Elias , Sarris Ernestos N.
Published: September 2023

This work presents the derivation of analytical solutions concerning the radial subsidence distribution ensuing from fluid extraction from a disk-shaped confined aquifer in homogeneous formations. The study draws upon methodologies developed in petroleum geomechanics of deep reservoirs to estimate surface uplift due to CO2 injection using Hankel-transformed thin plate theory. These methods yield simplified expressions as compared to previous results derived using the superposition principle on surface uplift from a uniform pressure field. Hence, closed-form formulas for the subsidence at the well location are re-derived, while the formulas for the subsidence field are deducted by both methods and the mathematical relation between the two methodologies is discussed. Additionally, innovative closed-form asymptotic solutions for radial subsidence distribution are deduced for scenarios involving deep aquifers. These solutions demonstrate exceptional accuracy when aquifer depth exceeds aquifer diameter, exhibiting independence from formation permeability and fluid viscosity. The study explores the influence of physical parameters on the subsidence field.
Spatio-Temporal Distribution of Dissolved Inorganic Nitrogen in the Changshan Islands Archipelago Based on a Multiple Weighted Regression Model Considering Spatial Characteristics
Authors: Lan Xinmei , Qi Jin , Song Weidong , Zhu Hongbo , Zhang Bing , Dai Jiguang , Ye Yang , Xue Guokun
Published: September 2023

Ammonia nitrogen (NH4-N), nitrite nitrogen (NO2-N), and nitrate nitrogen (NO3-N) are important nutrients for maintaining the ecological balance of seawater archipelagos. Obtaining the concentrations of the three nitrogenous compounds simultaneously can allow us to comprehensively analyze nitrogen cycling in archipelago waters, which is beneficial to the ecological protection of both agriculture and fisheries. The existing studies have usually considered a single nitrogen compound or dissolved inorganic nitrogen (DIN), which can only identify the water quality but cannot comprehensively judge the water purification situation or the toxicity of the nitrogen compounds in the water. In the process of constructing an inversion model, only the specific bands of remote sensing imageries used in training/learning are directly related to the actual measured values, ignoring the fact that the specific bands contain information on water quality parameters is different that would affect the fitting accuracy. Furthermore, the existing empirical models and machine learning models have not yet been applied to high-resolution inversion in archipelago waters with active fishing activities. In view of this, we constructed a multiple weighted regression model considering spatial characteristics (S-WSVR) to simultaneously retrieve the distribution of NH4-N, NO2-N, and NO3-N in archipelagic waters. By using the S-WSVR model and considering the complexity of the spatial distribution of the three nitrogen compounds in the mesoscale archipelagic waters, longitude and latitude were added to the experimental dataset as spatial features to fit the nonlinear spatial relationships. Meanwhile, a multivariate weighting module based on the Mahalanobis distance was integrated to calculate the contribution of the characteristic bands and improve the inversion accuracy. The S-WSVR model was applied in the water of Changshan Islands, China, with a retrieval resolution of 30 m, and the r-values of the three nitrogen compounds achieved 0.9063, 0.8900, and 0.9755, respectively. Notably, the sum of the three nitrogen compounds has an r-value of 0.9028 when compared with the measured DIN. In addition, we obtained the Landsat 8 characteristic bands for the three nitrogen compounds and plotted the spatial distributions of the nitrogen compounds in spring and autumn from 2013 to 2022. By analyzing the spatio-temporal variations, it was apparent that the three nitrogen compounds are controlled by human activities and river inputs, and the anoxic discharge of the Yalu River has a strong influence on NO2-N content. Therefore, the accurate estimation in this study can provide scientific support for the protection of sensitive archipelago ecosystems.
The Impact of Hybrid Energy Storage System on the Battery Cycle Life of Replaceable Battery Electric Vehicle
Authors: Zhang Wei , Yang Jue
Published: September 2023

Compared with batteries, ultracapacitors have higher specific power and longer cycle life. They can act as power buffers to absorb peak power during charging and discharging, playing a role in peak shaving and valley filling, thereby extending the cycle life of the battery. In this article, a replaceable battery electric coupe SUV equipped with a lithium iron phosphate (LiFePO4) power battery is taken as the research object, and a vehicle dynamics simulation model is established on the MATLAB/Simulink platform. Parameter matching and control optimization for a hybrid energy storage system (HESS) are conducted. Through a proven semiempirical cycle model of the LiFePO4 power battery, the operating cycle life model is derived and used to estimate the battery cycle life. World Light Vehicle Test Cycle (WLTC) simulation results show that the HESS with 308 ultracapacitors can extend the cycle life of the LiFePO4 power battery by 34.24%, thus significantly reducing the operation cost of the battery replacement station.
The Phenomenon of Child Marriage in Jepara and Its Prevention Strategies
Authors: Wahyuningtyas Indah Noviani , Nugroho Vannesa Almayra
Published: September 2023

AbstractThe rise of child marriage cases under the age of 19 in Indonesia is very concerning. Thus, strategies and prevention efforts are needed. The purpose of this research is to analyze data on child marriage cases in the Jepara Region and as a forum for participating in carrying out outreach activities to suppress child marriage cases in the Jepara Region. .The research used in this case is field research or field research by applying the case study method which is packaged in a qualitative descriptive manner. This research was conducted in the Jepara area. Data collection techniques in this study are by observing, interviewing, and document analysis. The results of the study show that child marriage in Jepara is increasing every year from 2020 to 2023. The causes of early marriage are influenced by several factors, including education, customs, environment, and the economy are the dominant factors triggering child marriage. The impacts caused by child marriage are health, psychology and domestic violence, the economy, and divorce. Several strategies to reduce cases of child marriage that can be carried out are through socialization regarding the dangers of child marriage, holding life skills to help hone skills, as well as digital platforms which are currently widely used by the community so that access to information distribution on the dangers of child marriage can be widely accessed.Keywords: Child marriage, impacts, prevention strategies
Correction of Inexactitude in Surficial Sediment Calcium Carbonate Content Data of the Global Ocean
Authors: Liu Xiaoqing , Zhang Handan , Zheng Yijie , Fang Hao , Xia Jinqi , Luo Yiming
Published: September 2023

Calcium carbonate (CaCO
3
) is a main component in marine sediment, and sedimentary CaCO
3
weight percentages (wtCaCO
3
%) in the global ocean have been extensively measured since the early last century. The tremendous database produced has been utilized in oceanographic research to constrain oceanic carbon cycles and to dictate past changes in deep ocean circulation. Inaccurate records in terms of sediment core coordinates, elevation, and wtCaCO
3
% data have been introduced in the past few decades, especially during compilation practice, rendering them less effective during the reuse of the data. Therefore, we thoroughly scrutinized published wtCaCO
3
% data and their geographical information and corrected 570 erroneous data points. These corrections help to establish a better basin-wide distribution pattern of sedimentary CaCO
3
with ocean depth, which would eventually contribute to a more valid estimate of the standing stock of erodible CaCO
3
in the global ocean. An accurate carbonate dataset could also facilitate applications of wtCaCO
3
% in paleoceanography and predictions of the buffering capacity of CaCO
3
to ocean acidification.
Shape Memory Polymer Composites: 4D Printing, Smart Structures, and Applications
Authors: Yan Shiyu , Zhang Fenghua , Luo Lan , Wang Linlin , Liu Yanju , Leng Jinsong
Published: September 2023

Shape memory polymers (SMPs) and their composites (SMPCs) are smart materials that can be stably deformed and then return to their original shape under external stimulation, thus having a memory of their shape. Three-dimensional (3D) printing is an advanced technology for fabricating products using a digital software tool. Four-dimensional (4D) printing is a new generation of additive manufacturing technology that combines shape memory materials and 3D printing technology. Currently, 4D-printed SMPs and SMPCs are gaining considerable research attention and are finding use in various fields, including biomedical science. This review introduces SMPs, SMPCs, and 4D printing technologies, highlighting several special 4D-printed structures. It summarizes the recent research progress of 4D-printed SMPs and SMPCs in various fields, with particular emphasis on biomedical applications. Additionally, it presents an overview of the challenges and development prospects of 4D-printed SMPs and SMPCs and provides a preliminary discussion and useful reference for the research and application of 4D-printed SMPs and SMPCs.
Recent Advances in Imaging of Light Propagation with Light-in-Flight Recording by Holography
Authors: Inoue Tomoyoshi , Kakue Takashi , Nishio Kenzo , Kubota Toshihiro , Matoba Osamu , Awatsuji Yasuhiro
Published: September 2023

In the last few decades, there have been several advances in ultrafast imaging of light propagation with light-in-flight recording by holography (LIF holography), which can capture light propagation as a motion picture with a single shot in principle. Here, we review the recent advances in LIF holography by considering the perspectives of various development of functional imaging techniques and evaluation of LIF holography with numerical simulation methods. The methods for recording multiple motion pictures such as a space-division multiplexing, a pixel-by-pixel-based space-division multiplexing, and an angular multiplexing technique are added extend the capability of LIF holography. The numerical simulation models used for investigating the image characteristics of LIF hologram are discussed. Finally, a summary and conclusion of recent advances in LIF holography is presented.
Analyzing the Factors Influencing the Success of Business Incubation Programs: A SmartPLS Approach
Authors: Santoso Nuke Puji Lestari , Sunarjo Richard Andre , Fadli Ihya Syihabul
Published: September 2023

Improving productivity and effectiveness in business processes is highly desired by actors from faculties and companies. However, the problem is that the determinants of success and moderating influence on business incubators at Raharja University still need to be discovered to improve the performance of these business processes. The study conducted will help overcome these problems by evaluating the determinants of success and moderating influences on business incubators at Raharja University using a quantitative approach method. Data collection results from 50 incubator managers show that incubator image positively affects incubator performance. In addition, the IT factor, entry criteria, mentoring network, and funding contribute to incubator performance, while a sound infrastructure system is a moderating factor. University regulation, government support and protection, and credit and rewards were also shown to improve business incubator performance. The results of this research could benefit university professors as managers and consultants, entrepreneurs and undergraduate startups/tenants in knowledge transfer and learning entrepreneurship, and government officials in practical policymaking. There is nature. In the university context, the incubator serves as a platform for commercializing research activities, helping university officials to take responsibility for the economic environment, create jobs, increase the monetary value of the country and reduce poverty.
User Involvement on Air Quality in Incubation Rooms in Banten-Indonesia
Authors: Putri Oganda Fitra , Heru Riza Chakim Mochamad , Eka Septian Willy , Mulyati  , Dian Astuti Eka
Published: September 2023

Constructing middle-income housing in urban areas can be an effective means of optimizing the environment's carrying capacity and reducing land use. The air quality in Jakarta is an ongoing concern, and it can have significant health implications for those living in housing developments. In high-rise housing structures, air conditioning units are essential for regulating air circulation and minimizing indoor pollutants that can impact neighboring units' comfort levels. This research aims to evaluate the occupants' involvement in implementing indoor air quality (IAQ) sustainability practices in middle-income housing in Jakarta and how it impacts the community. The study identifies the occupants' characteristics, including managers and residents, explores their interactions in adopting healthy living habits, and analyzes their participatory roles in optimizing indoor air quality. The research uses the partial least squares method via SmartPLS for analysis. The findings indicate that both residents and managers must be involved in promoting healthy lifestyles and IAQ in middle-income housing units. As a result, the Jakarta local government should make community engagement programs a mandatory requirement for middle-income housing development regulations to support administrative, technical, and ecological requirements for health sustainability.
Predicting Air Quality Index using Ensemble Machine Learning
Authors: Hardini Marviola , Sunarjo Richard Andre , Asfi Marsani , Riza Chakim Mochamad Heru , Ayu Sanjaya Yulia Putri
Published: September 2023

This study focuses on utilizing Ensemble Machine Learning to predict and forecast the Air Quality Index (AQI). The research is motivated by the adverse effects of industrialization and population growth on air quality, leading to detrimental impacts on human health. While numerous methodologies exist for air quality prediction, it is crucial to anticipate future air conditions to minimize their larger consequences. Hence, this study proposes an air quality evaluation system to facilitate future predictions. The study comprises three primary modules: Data Preparation, AQI Forecasting, and Evaluating Air Quality. The Data Preparation Module involves real-time data collection and formatting to ensure compatibility with subsequent modules. In this research, the Sparse Spectrum GPR (SSGPR) method is employed for AQI forecasting, while the cloud model is adopted for air quality evaluation. The study's findings demonstrate the capability of the proposed model to account for the uncertainty and randomness inherent in air quality prediction. Performance metrics such as Mean Absolute Error (MAE), Root Mean Square Error (RMSE), and Mean Absolute Percentage Error (MAPE) are employed to evaluate the models' effectiveness. Based on the evaluation results, it can be concluded that the Ensemble Machine Learning method utilized in this study effectively predicts and forecasts the Air Quality Index. These predictions play a crucial role in minimizing the adverse impact of air pollution on human health by providing insights into future air conditions. Overall, this research contributes significantly to comprehending and addressing the increasingly urgent challenges associated with air quality.
Röhrborn, K. Der Buddhismus im Alttürkischen: Ausgewählte Schriften von Klaus Röhrborn. Hrs. von Şilfeler, G. & Özertural, Z. Wiesbaden: Harrassowitz Verlag, 2023, pp. xvi+380. ISBN: 978-3-447-11983-2.
Authors: İSİ Hasan
Published: September 2023

Röhrborn, K. Der Buddhismus im Alttürkischen: Ausgewählte Schriften von Klaus Röhrborn. Hrs. von Şilfeler, G. & Özertural, Z. Wiesbaden: Harrassowitz Verlag, 2023, pp. xvi+380. ISBN: 978-3-447-11983-2.
Zum Vergleich der alttürkischen und „germanischen“ Schrift und Kultur
Authors: ÇAYIR Çağıl
Published: September 2023

After 1453, the battle terms "Europe" and "Germanic" advanced to fateful political and scientific paradigms. The claim of foreignness between Turks and "Germans" displaced the medieval idea of the primal kinship of the peoples as well as the thesis of the Turkish origin of the runic script, which results indirectly from the old migration myths. Although the discovery of rune-like inscriptions in Siberia reminded the scholars of the old legends and many well-known scientists considered the comparison of the scripts and cultures necessary, such research impulses could not prevail so far – with disastrous consequences. For the seperation of the scripts and cultures paved the way for the Nazi-Ideology. In any case, the comparison of the writings and cultures has been neglected so far only mistakenly and prejudiced. Now the need for the comparison of the Old Turkish and „Germanic“ scripts and cultures stands again before us. Challenging the science world.
Dīvānu Lugāti’t-Türk’teki Savaş Terimlerine İlişkin Bir Tasnif Denemesi
Authors: KÜÇÜK Serhat , GEMİCİ Halil İbrahim
Published: September 2023

Dīwān Lughāt al-Turk is one of the most significant and ancient dictionaries in the history of the Turkish language. Composed during the Karakhanid Turkish period, this work has been extensively studied in the field of Turkology, thanks to its extensive vocabulary. In the context of this article, Dīwān Lughāt al-Turk was chosen as a primary source of data, and a fresh attempt at classification was undertaken by categorizing the war-related terms within the text under various thematic headings. Within this classification, the war-related terms in Dīwān Lughāt al-Turk were scrutinized through seven primary categories. The analysis revealed that the category of ‘Tools and Equipment’, as well as ‘Horses and Gifts’, stood out as the most frequently employed topics, constituting 48% of the usage. This was followed by categories such as ‘Words Relating to Individuals’ and ‘Expressions Used in Various War Situations’, making up 18% and 15% respectively. This article aims to introduce a novel classification endeavor on this subject, drawing from existing research on war terminology within Dīwān Lughāt al-Turk, and aims to serve as a foundational resource for future studies in this area.
Tarihî Türk Dillerinde ‘Sakal’ Kavramı ve Etimolojisi Üzerine Bir Değerlendirme
Authors: ALAN Sümeyra
Published: September 2023

Throughout history, various societies, both predating and following the rise of Islam, have ascribed diverse meanings to the beard. While the significance of the beard may hold little weight in certain societies, it occupies a prominent position in others. The beard has functioned as an emblem of status and has been employed as a means of punishment or reward, with its attributes such as shape, color, length, fullness, and sparsity playing a role. To the extent that in specific epochs, edicts concerning beards were issued, underscoring the significance of a young man’s beard growth date and meticulously noting such occurrences. In works like the Bāburnāma, even the date of a young man’s first beard shaving was meticulously recorded. The article is organized into five sections. The first section furnishes insights into the ‘etymology of the term’ and presents three distinct perspectives. Following the requisite etymological elucidations, our viewpoint on the word's origin is presented as the third proposed etymology. Subsequently, the exploration delves into ‘beards’, ‘varieties of beards’, ‘verbal expressions involving beards’, and ultimately ‘idioms and proverbs linked to beards’. The quotations gleaned from these works are translated into contemporary Turkish and provided under their respective categories.
Kaya, C. (Ed.). Uygurca Altun Yaruk Belgeler. Ankara: Türk Dil Kurumu Yayınları, 2023, ss. 842. ISBN: 978-975-17-5510-0.
Authors: YILDIZ Sümbül Begüm
Published: September 2023

Kaya, C. (Ed.). Uygurca Altun Yaruk Belgeler. Ankara: Türk Dil Kurumu Yayınları, 2023, ss. 842. ISBN: 978-975-17-5510-0.
L’affaire d’un chargé? Ghuzz  ‘deputy (of any ruler or chieftain)’ ≠ Qarluq/Uyγur Kül Erkin ‘epithet of a supreme ruler’
Authors: MANASTER-RAMER Alexis
Published: September 2023

The author strongly criticises the medieval explanation of Mahmud Kashgari’s interpretation of the Qarluq royal title Kül Erkin as ‘intelligence collected like a full pond’, calling it utter nonsense. He also argues against the claim that this Qarluq title is the same as the Ghuzz title recorded by Ibn Faḍlān. The equation of the two titles lacks evidence and reason, since was not a royal title but a title for a subject. He suggests that the title may have been derived from küḏär ‘to wait for, to look after, to take care of’ (< kǖd- ‘to wait for, to look after, to take care of’) combined with äg-gin or äg-in meaning’ who has bent, bowed’ or ‘one who bends’, possibly referring to a servant who looked after state affairs or carried the weight of state affairs. They discuss parallels from other cultures, including the Khazars, where titles reflected the holder’s role in society. The Khazars appear to have developed a triarchy before the collapse of their empire, with a separate office for the ‘king’ in Jewish sources, reflecting a deliberate attempt to parallel the history of Israel’s judges.
Sympoietic Structures: Enfolding Ecological Inputs into Core-Studio Curricula
Authors:   Pratt Institute, Vigneri-Beane Jason
Published: September 2023

This paper explores environmental morphology in the first-year design studio pedagogy with an interest in proposing new fundamentals based on sympoiesis and the enfolding of ecological inputs into design processes. This pedagogical research acknowledges the influential history of disciplinary autonomy on first-year design curricula and attempts to open that history to a pedagogical future wherein multi-modal, multi-disciplinary ecological inputs become integrated driv¬ers for both form and organization. First-year design curricula are often driven by abstraction, internal logics, formal processes and a general tendency toward the autonomous aspects of architecture as a dis¬cipline. While these features of the first-year studio are catalytic they increasingly beg partnerships with inter- or extra-disciplinary operations in order to engage external worlds and environmental agencies. Looking across works on biology and ecology by Maturana and Varela, Margulis, Dempster and Haraway one finds a parallel discussion of autonomy and inclusiveness in the form of autopoiesis and sympoiesis. While autopoiesis describes closed systems and self-making, sympoiesis describes open systems and making-together. Interestingly, these autonomous and inclusive forms of making are not mutually exclusive but, as Haraway suggests, autopoietic and sympoietic processes can be mutually reinforcing and nested within each other. Learning from this discourse, Sympoietic Structures looks at multi-phase project strategies wherein first-year students can use different environmental drivers to condition form at the meso-scale of architectural bodies and the macro-scale collective organization of those bodies. These first-year strategies involve defining relationships between environmental drivers and scales of operation. In addition, they involve creative ways by which environmental driv¬ers can be parametricized in order to create process-based architectural entities that are serial and morphologically spe-cific. Serialization allows first-year students to iterate, test and evaluate form and performance while morphological specificity helps them learn about feedback loops between process inputs and spatio-formal outcomes.
Influencia del comportamiento del consumidor en las estrategias de precios utilizadas en el comercio electrónico
Authors:   , Díaz Doria Adiela
Published: September 2023

En el competitivo y complejo mundo digital, conseguir que un consumidor elija nuestra oferta es el anhelo más ferviente de especialistas en marketing y ventas. Para lograr este objetivo, resulta fundamental comprender los factores que influyen en su decisión de compra. Por ello, este estudio se centra en identificar estrategias clave para los canales de venta digital, con especial énfasis en los marketplaces. Se analiza detalladamente el comportamiento del consumidor en entornos digitales y se destaca una de las principales variables del mix de marketing: el precio. La capacidad de reaccionar rápida y ágilmente ante cambios en el precio y su papel como factor de comparación entre distintos canales digitales hacen de esta variable un poderoso filtro de compra para los consumidores. En consecuencia, dominar estos aspectos se convierte en el secreto del éxito para incrementar la tasa de conversión en el mundo digital.
Strategi Pengembangan Potensi Agrowisata Desa Rapak Lambur
Authors: Setia Budi Ariyadi , Mustofa Umar , Hidayat Arief , Nugroho Rizky Arif
Published: September 2023

Pengembangan agrowisata, baik secara langsung maupun tidak langsung, meningkatkan kesadaran positif petani dan masyarakat akan pentingnya melestarikan sumber daya lahan pertanian. Rapak Lambur adalah salah satu kelurahan yang terletak di kecamatan Tenggarong dengan luas wilayah 12 Km2. Dengan kondisi eksisting wilayah yang masih dominan berupa perkebunan dan persawahan masyarakat yang masih banyak dijumpai sehingga hal ini menjadikan wilayah Rapak Lambur dijadikan salah satu wilayah pengembangan agrowisata. Output dari penelitian ini akan memberikan gambaran terkait strategi dalam pengembangan agrowisata di Desa Rapak Lambur. perhitungan analisis SWOT, diperoleh kombinasi Strength-Opportunieties dengan nilai 3,4, meningkatkan pengelolaan agrowisata dengan meningkatkan produktivitas kebun, pengembangan varietas Panen, perawatan pasca panen dan keindahan taman. Meningkatkan kualitas sumber daya manusia: melibatkan petani untuk memberikan informasi produk kepada pengunjung, menjaga kualitas buah yang dihasilkan, meningkatkan jaminan keamanan yaitu memasang pagar taman, melengkapi fasilitas rekreasi, meningkatkan kualitas sumber daya manusia melalui pelatihan khusus.
Market Waste Management Towards a Healthy Market
Authors: Fahri Sukmal , Krisdyanta Krisdyanta , Kartika Mbulan Dewi
Published: September 2023

Garbage is a serious problem that must be considered. The amount of waste is increasing along with the population. One of the most common waste problems is market waste. Increased activity in the market dramatically affects the number of market waste piles. To overcome this, serious waste management is needed. Waste management starts with waste collection, transportation, temporary waste disposal, and the role of cleaners and traders. This study aims to find out how the Waste Management System at the Kersik Tuo Market works.

This type of research is descriptive, using observation and interviews. The samples used were 85 traders and five janitors. The results of this study are that the Kersik Tuo Market is categorized as unhealthy where waste collection is 21 (24.7%), waste transportation is 21 (24%), availability of waste storage facilities is 21 (24%), and the role of traders is 37 (43.5%) not following provisions Permenkes No 17 of 2020 concerning Organizing Healthy Markets and the Role of Poor Traders in Waste Management. In conclusion, it is necessary to implement Government Regulation No. 17 of 2020 concerning Organizing Healthy Markets so that Kersik Tuo Market waste management can improve and make the Kersik Tuo market become a healthy market. To realize this, the participation of traders in market waste management.
Procediamo alla risposta
Authors: De Santis Cristiana
Published: September 2023

Alcune domande giunte alla redazione chiedono chiarimenti sulla reggenza preposizionale del verbo procedere.
Assessment of the insecticidal properties of some plant extracts as grain protectants against maize weevil. Sitophilus zeamais Motschulsky
Authors: ADEDIRE C.O. , AJAYI T.S.
Published: September 2023

Acetone extracts of ten plant materials namely, Garcinia kola Heckel, Citrus frutescens L., C. sinensis Osbeck, C. parandis Nacfr., C. aurantifolia Swing, Afromomum melegueta Schum, Cymbopogon citratus L., Xylopia aethiopica Rich, Allium cepa L. and Piper guineense Schum and Thonn were evaluated for their insecticidal activity against the maize weevil, Sitophilus zeamais Motch. The results indicated that C. frutescens, P. guineense and A. melegueta effectively protected maize grains against weevil attack. All the three plant extracts exhibited fumigant mode of action since they each have a characteristic pungent smell. It appears P. guineense and C. frutescens acted mainly through the contact mode of action while A. melegueta needed to be absorbed through the cuticle or ingested before it can be effective. Only acetone-extracts of A. cepa, C. citratus and C. aurantifolia were the least effective of the plant materials tested while others were moderately effective. Based on weevil perforation index (WPI) , the results of this investigation showed that all the plants tested had some insecticidal activity.
Comparison of Garlic and Lemon grass Products in the Control of Callosobruchus maculatus F. (Coleoptera: Bruchidae) on Stored Cowpea Grains
Authors: OPARAEKE A.M. , DIKE M.C.
Published: September 2023

Powders of garlic (Allium sativum L.) bulb and lemon grass (Cymbopogon citratus Staph) stem were compared for their effectiveness against Callosobruchus maculatus F. on cowpea stored for three months. Garlic bulb powder at 2.5g, 5.0g and 10.0g per 100g cowpea grains gave 8.33%, 23.33%, 45.0% adult weevil mortality respectively in 24 hours; 50.0%, 56.66%, 75.0% adult weevil mortality respectively in 48 hours; while lemon grass stem powder of the same dosage caused 26.65%, 33.33%, 35.0% weevil mortality respectively in 24 hours and 56.65%, 66.66%, 68.33% mortality respectively in 48 hours. Garlic bulb and lemon grass stem powders significantly (P < 0.01) reduced the oviposition and progeny emergence in all the treatment levels, compared with the control. However, lemon grass stem powders performed better than garlic bulb powder in F2 and F3 proqenies control and had better protection of cowpea grains. Seed viability and quality were unaffected by the treatments.
TOPIC: A Parallel Association Paradigm for Multi-Object Tracking under Complex Motions and Diverse Scenes
Authors: Cao Xiaoyan , Zheng Yiyao , Yao Yao , Qin Huapeng , Cao Xiaoyu , Guo Shihui
Published: September 2023

Video data and algorithms have been driving advances in multi-object tracking (MOT). While existing MOT datasets focus on occlusion and appearance similarity, complex motion patterns are widespread yet overlooked. To address this issue, we introduce a new dataset called BEE23 to highlight complex motions. Identity association algorithms have long been the focus of MOT research. Existing trackers can be categorized into two association paradigms: single-feature paradigm (based on either motion or appearance feature) and serial paradigm (one feature serves as secondary while the other is primary). However, these paradigms are incapable of fully utilizing different features. In this paper, we propose a parallel paradigm and present the Two rOund Parallel matchIng meChanism (TOPIC) to implement it. The TOPIC leverages both motion and appearance features and can adaptively select the preferable one as the assignment metric based on motion level. Moreover, we provide an Attention-based Appearance Reconstruct Module (AARM) to reconstruct appearance feature embeddings, thus enhancing the representation of appearance features. Comprehensive experiments show that our approach achieves state-of-the-art performance on four public datasets and BEE23. Notably, our proposed parallel paradigm surpasses the performance of existing association paradigms by a large margin, e.g., reducing false negatives by 12% to 51% compared to the single-feature association paradigm. The introduced dataset and association paradigm in this work offer a fresh perspective for advancing the MOT field. The source code and dataset are available at https://github.com/holmescao/TOPICTrack.
Wireless Constellation Detection in Seamless Digital Wireless-Photonic Receivers
Authors: Ghosh Niloy , Pendharker Sarang
Published: September 2023

This paper investigates wireless constellation detection in seamless digital wireless-photonic receivers. The two intermediary stages in the presented detection model are discussed: wireless-to-optical (W-O) and optical-to-electrical (O-E) symbol mapping stage. The inherent barrier of erroneous constellation detection due to symbol degeneracy in the W-O and O-E mapping stages is reported, supported by physical and analytical reasoning. Independent solutions are proposed to overcome this barrier in the individual stages. The respective solutions are then merged to propose a novel architecture that simultaneously breaks degeneracies in the two stages. Breaking degeneracy not only lays the foundation for reliable detection of wireless constellations in seamless digital wireless-photonic receivers, but also ensures their compatibility with practical digital modulation schemes such as M-PSK and M-QAM.
Deep Learning-Based Refactoring with Formally Verified Training Data
Authors: Szalontai Balázs , Bereczky Péter , Horpácsi Dániel
Published: September 2023

Refactoring source code has always been an active area of research. Since the uprising of various deep learning methods, there have been several attempts to perform source code transformation with the use of neural networks. More specifically, Encoder-Decoder architectures have been used to transform code similarly to a Neural Machine Translation task. In this paper, we present a deep learning-based method to refactor source code, which we have prototyped for Erlang. Our method has two major components: a localizer and a refactoring component. That is, we first localize the snippet to be refactored using a recurrent network, then we generate an alternative with a Sequence-to- Sequence architecture. Our method could be used as an extension for already existing AST-based approaches for refactoring since it is capable of transforming syntactically incomplete code. We train our models on automatically generated data sets, based on formally verified refactoring definitions and by using attribute grammar-based sampling.