bluuebunny/crossref_metadata_2025 huggingface dataset:
Evaluation and Differentiation Analysis of China’s Construction of Ecological Civilization from the Perspective of Collaboration: Using China’s Representative Region as an Example
Authors: Zhou Xue , Wang Jiapeng
Published: September 2023

The construction of ecological civilization is an important part of the cause of Chinese socialism, and the evaluation of the construction of ecological civilization and the differentiated analysis of its synergistic development will guide the coordinated development and coordinated ecological governance and protection in China. Synergistically, an evaluation index system was constructed based on the social–economic–natural multisystem, and the deviation coefficient coupling coordination model was used to evaluate the construction of the ecological civilization of 83 cities in the region from 2000 to 2020. The spatial and temporal development characteristics were explored using the spatial autocorrelation index and standard deviational ellipse, and the urban–rural differences were quantitatively analyzed by using the Thiel index. The results show that from 2000 to 2020, the degree of coordinated development of the social–economic–natural multisystem in different cities was low, and there are different reasons for cities with different urban–rural divisions. In this study region, the spatial distribution of the social–economic–natural coordinated development of cities is becoming increasingly discrete, and the center of urban distribution, which has a higher level of coordinated development, is gradually shifting to the southwest. In 2020, the level of coordinated social–economic–natural development in the study area was significantly different in urban and rural areas.
Weed Detection in Rainfed Maize Crops Using UAV and PlanetScope Imagery
Authors: de Villiers Colette , Munghemezulu Cilence , Mashaba-Munghemezulu Zinhle , Chirima George J. , Tesfamichael Solomon G.
Published: September 2023

Weed invasion of crop fields, such as maize, is a major threat leading to yield reductions or crop right-offs for smallholder farming, especially in developing countries. A synoptic view and timeous detection of weed invasions can save the crop. The sustainable development goals (SDGs) have identified food security as a major focus point. The objectives of this study are to: (1) assess the precision of mapping maize-weed infestations using multi-temporal, unmanned aerial vehicle (UAV), and PlanetScope data by utilizing machine learning algorithms, and (2) determine the optimal timing during the maize growing season for effective weed detection. UAV and PlanetScope satellite imagery were used to map weeds using machine learning algorithms—random forest (RF) and support vector machine (SVM). The input features included spectral bands, color space channels, and various vegetation indices derived from the datasets. Furthermore, principal component analysis (PCA) was used to produce principal components (PCs) that served as inputs for the classification. In this study, eight experiments are conducted, four experiments each for UAV and PlanetScope datasets spanning four months. Experiment 1 utilized all bands with the RF classifier, experiment 2 used all bands with SVM, experiment 3 employed PCs with RF, and experiment 4 utilized PCs with SVM. The results reveal that PlanetScope achieves accuracies below 49% in all four experiments. The best overall performance was observed for experiment 1 using the UAV based on the highest mean accuracy score (>0.88), which included the overall accuracy, precision, recall, F1 score, and cross-validation scores. The findings highlight the critical role of spectral information, color spaces, and vegetation indices in accurately identifying weeds during the mid-to-late stages of maize crop growth, with the higher spatial resolution of UAV exhibiting a higher precision in the classification accuracy than the PlanetScope imagery. The most optimal stage for weed detection was found to be during the reproductive stage of the crop cycle based on the best F1 scores being indicated for the maize and weeds class. This study provides pivotal information about the spatial distribution of weeds in maize fields and this information is essential for sustainable weed management in agricultural activities.
The Evolutionary Characteristics and Interaction of Interdisciplinarity and Scientific Collaboration under the Convergence Paradigm: Analysis in the Field of Materials Genome Engineering
Authors: Li Jing , Yu Qian
Published: September 2023

Convergence has been proposed as a revolutionary innovation paradigm that advocates the integration of multidisciplinary knowledge through collaboration to solve complex real-world challenges. From a knowledge perspective, this study examined the evolutionary characteristics and interactions between interdisciplinarity and scientific collaboration in the context of the convergence paradigm using complex networks and bibliometric methods for publications (n = 35,227) in the materials genome engineering (MGE) field in China from 2000 to 2021. The findings are as follows: (1) Under the convergence paradigm, knowledge from five core disciplines forms the skeleton of the multidisciplinary knowledge system in the MGE field. The goal of interdisciplinarity gradually evolves from theoretical exploration to applied research, and the knowledge from various disciplines is increasingly integrated. (2) The development of the scientific collaboration network has gone through three phases: 2000–2009, 2005–2014, and 2015–2021, and its core-periphery structure has been gradually optimized. (3) The evolution of interdisciplinarity is nearly synchronized with the evolution of the scientific collaboration network. (4) The promotion of interdisciplinarity through collaboration is becoming increasingly evident. The proportion of interdisciplinary partnerships increased from 0.66 to 0.87, with the proportion of partnerships involving more than two disciplines increasing from 0.24 to 0.59. (5) Institutions from core and periphery disciplines have diverse partner selection preferences, and disciplinary characteristics related to knowledge similarity and complementarity are important factors influencing scientific collaboration behavior. This study contributes to a more comprehensive understanding of the convergence paradigm and provides insights for better incubating convergence research projects and advancing top-down innovation management in convergence fields.
Biochar as an Environment-Friendly Alternative for Multiple Applications
Authors: Yadav Radheshyam , Ramakrishna Wusirika
Published: September 2023

The climate crisis and years of unsustainable agricultural practices have reduced soil fertility and crop yield. In addition, agricultural lands contribute more than 10% of greenhouse gases (GHGs). These concerns can be addressed by using biochar for carbon neutralization, environmental restoration, and agricultural management. Biochar has a role in nitrous oxide and methane gas emission mitigation from agricultural soil. New methods are needed to link belowground processes to functioning in multi-species and multi-cultivar agroecosystems. The intricate relationship between biochar and the composition of soil microbial communities, along with its impacts on functions within the rhizosphere, constitutes a highly perplexing and elusive subject within microbial genomics. The present review discusses how biochar can mitigate climate change, enhance carbon sequestration, and support crop productivity. Biochar could be a potential solution to mitigate soil microplastics and heavy metal contamination. Applying a biochar-based microbiome reduces polycyclic aromatic hydrocarbons (PAHs) in soil. The current knowledge and perspectives on biochar–plant–microbial interactions for sustainable agriculture and ameliorating the adverse effects of climate change are highlighted. In this review, a holistic approach was used to emphasize the utility of biochar for multiple applications with positive and negative effects and its role in promoting a functional circular economy.
Effects of Higher Education on Green Eco-Efficiency and Its Optimization Path: Case Study of China
Authors: Xu Yue , Xu Zihao , Zhai Dayu , Li Yanyu
Published: September 2023

Based on the annual panel data of 30 provinces in China, this paper evaluates the green eco-efficiency of each province via factor decomposition and analyzes the impact of higher education on green eco-efficiency using the two-way fixed effect model, considering economic development, urban scale, industrial structure, foreign investment and government regulation as control factors. The results show that the penetration of higher education has a significant positive impact on green eco-efficiency. Heterogeneity analysis suggests that the positive impact of undergraduate and postgraduate education is significant, and this impact increases with the increasing levels of education; however, the influence of junior college education is not significant. Higher education in eastern China significantly affects green eco-efficiency in a positive manner, while the relationship between the two is not significant in the central and western regions. The test of mediating effects further shows that technological innovation has a partial mediating effect, while environmental attention does not show a mediating effect in the influencing path of higher education on green eco-efficiency. Accordingly, this paper proposes certain implications regarding green-related courses, transformation from consciousness to practice, and incorporation of green education in higher education systems.
A Novel Approach for Elimination of Defects of Blocking and Unblocking in Distance Relays during Power Swing
Authors: Mehri Amirreza , Mazlumi Kazem , HashemiDezaki Hamed , Mansouri Mohammad Hasan , Mahyaei Ramin
Published: September 2023

In power systems, distance relays are commonly employed as the primary protection for transmission lines, and their operation is of utmost importance. Power swings are a type of phenomenon that can lead to improper functioning of conventional distance relays, posing a threat to the uninterrupted flow of electrical power. The occurrence of a power swing disrupts the impedance measured by the relay, causing it to deviate from the normal load condition and enter the relay tripping zones. This research paper introduces a novel method based on the Prony method for extracting current waveform components, enabling fault detection during power swings. Subsequently, the proposed method’s accuracy is assessed through simulations implemented on a nine-bus power system, involving three-phase current signal processing and the application of the proposed algorithm. Various fault scenarios encompassing varying fault distances from the relay position, fault resistances, and power angles within the 9-bus system are simulated to encompass a wide range of fault environments. The simulation results demonstrate the effectiveness of the proposed algorithm in detecting all types of faults, including symmetrical and asymmetrical faults, during power swings.
d-Idose-Based Monoaza-15-Crown-5 Lariat Ethers: Synthesis of an Elusive d-Hexose and Application of Derived Macrocycles in Enantioselective Syntheses
Authors: Orbán István , Ujj Dóra , Mátravölgyi Béla , Holczbauer Tamás , Rapi Zsolt
Published: September 2023

Carbohydrate-based macrocycles can be enantioselective catalysts in certain reactions. Previously, it was proven that the carbohydrate moiety could affect the catalytic activity of the monoaza-15-crown-5 type macrocycles derived from sugars. According to our experiments so far, the most effective enantioselective catalysts were the d-glucose- and the d-galactose-based crown ethers. To obtain more information about the effect of the carbohydrate unit, a rare monosaccharide, d-idose was incorporated into the monoaza-15-crown-5 structure. The key intermediates were methyl 4,6-O-benzylidene-α-d-idopyranoside and methyl 4,6-O-benzylidene-β-d-idopyranoside, which were synthesized from d-galactose. The efficiency of the idopyranoside-based crown compounds synthesized was investigated in asymmetric phase transfer reactions. In liquid-liquid biphasic reactions the highest enantioselectivity was 81% ee, while in solid-liquid phase systems the highest asymmetric induction was 67% ee. It was observed that the enantiodiscrimination was strongly dependent on the configuration of the anomeric center, on the side arm of the nitrogen, and on the structure of the substrate.
How to Pose Problems on Periodicity and Teaching with Problem Posing
Authors: Dang Guoqiang , Guo Yufeng , Li Kai
Published: September 2023

Research on how to pose good problems in mathematical science is rarely touched. Inspired by Kilpatrick’s “Where do good problems come from?”, the current research investigates the problem of the specific problem posed by mathematicians in mathematical sciences. We select a recent mathematical conjecture of Yang related to periodic functions in the field of functions of one complex variable. These problems are extended to complex differential equations, difference equations, differential-difference equations, etc. Through mathematical analysis, we try to reproduce the effective strategies or techniques used by mathematicians in posing these new problems. The results show that mathematicians often use generalization, constraint manipulation, and specialization when they pose new mathematical problems. Conversely, goal manipulation and targeting a particular solution are rarely used. The results of the study may have a potential impact and promotion on implementing problem-posing teaching in primary and secondary schools. Accordingly, teachers and students can be encouraged to think like mathematicians, posing better problems and learning mathematics better. Then, we give some examples of mathematical teaching at the high school level using problem-posing strategies, which are frequently employed by mathematicians or mathematical researchers, and demonstrate how these strategies work. Therefore, this is a pioneering research that integrates the mathematical problem posing by mathematicians and the mathematical problem posing by elementary and secondary school math teachers and students. In addition, applying constraint manipulation and analogical reasoning, we present four unsolved mathematical problems, including three problems of complex difference-related periodic functions and one problem with complex difference equations.
Accuracy of Human Papillomavirus (HPV) Testing on Urine and Vaginal Self-Samples Compared to Clinician-Collected Cervical Sample in Women Referred to Colposcopy
Authors: Martinelli Marianna , Giubbi Chiara , Di Meo Maria Letizia , Perdoni Federica , Musumeci Rosario , Leone Biagio Eugenio , Fruscio Robert , Landoni Fabio , Cocuzza Clementina Elvezia
Published: September 2023

In the context of cervical cancer prevention, where human papillomavirus (HPV) infection is pivotal, HPV testing is replacing Pap Smear in primary screening. This transition offers an opportunity for integrating self-sampling to enhance coverage. We evaluated the accuracy of HPV testing using self-collected urine and vaginal samples, comparing them to physician-collected cervical swabs. From a cohort of 245 women with abnormal cytology, we collected self-sampled vaginal, urine, and clinician-administered cervical specimens. Employing Anyplex™II HPV28 assay, outcomes revealed HPV positivity rates of 75.1% (cervical), 78.4% (vaginal), and 77.1% (urine). Significant, hr-HPV detection concordance was observed between self-taken cervical samples and clinical counterparts (k = 0.898 for vaginal; k = 0.715 for urine). This study extends beyond accuracy, highlighting self-collected sample efficacy in detecting high-grade cervical lesions. The insight underscores self-sampling’s role in bolstering participation and aligns with WHO’s goal to eliminate cervical cancer by 2030.
Multiplex One-Step RT-qPCR Assays for Simultaneous Detection of SARS-CoV-2 and Other Enteric Viruses of Dogs and Cats
Authors: Thieulent Côme J. , Carossino Mariano , Peak Laura , Wolfson Wendy , Balasuriya Udeni B. R.
Published: September 2023

The severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) was transmitted from humans to dogs and cats (reverse zoonosis) during the COVID-19 pandemic. SARS-CoV-2 has been detected in fecal samples of infected dogs and cats, indicating potential fecal–oral transmission, environmental contamination, and zoonotic transmission (i.e., spillback). Additionally, gastrointestinal viral infections are prevalent in dogs and cats. In this study, we developed and validated a panel of multiplex one-step reverse transcription–quantitative polymerase chain reaction (RT-qPCR) assays for the simultaneous detection of SARS-CoV-2 and common canine enteric viruses: Canine Enteric Assay_1 (CEA_1) for the detection of canine adenovirus-1, canine enteric coronavirus, canine distemper virus, and canine parvovirus, and CEA_2 for the detection of rotavirus A (RVA), and SARS-CoV-2); or common feline enteric viruses (Feline Enteric Assay_1 (FEA_1) for the detection of feline enteric coronavirus, feline panleukopenia virus, RVA, and SARS-CoV-2). All assays demonstrated high analytical sensitivity, detecting as few as 5–35 genome copies/µL in multiplex format. The repeatability and reproducibility of the multiplex assays were excellent, with coefficient of variation <4%. Among the 58 clinical samples tested, 34.5% were positive for at least one of these viruses, and SARS-CoV-2 was detected in two samples collected from one dog and one cat, respectively. In conclusion, these newly developed one-step multiplex RT-qPCR assays allow for rapid diagnosis of enteric viral infections, including SARS-CoV-2, in dogs and cats.
Hepatitis C and Human Pegivirus Coinfection in Patients with Chronic Hepatitis C from the Brazilian Amazon Region: Prevalence, Genotypes and Clinical Data
Authors: Nunes Patrícia , da Cruz Coelho Evelen , da Silva Joseane , da Silva Costa Camila , Sampaio Regiane , Frade Paula , Ponteira Nagib , da Cruz Samara , Seabra Aline , Carneiro Debora , Burbano Rommel , Martins Luisa
Published: September 2023

Coinfection of HPgV-1 with hepatitis C virus (HCV) is common due to shared modes of transmission, with a prevalence of HPgV-1 viremia of approximately 20% among individuals with chronic HCV infection. The aim of the present study was to estimate the prevalence of HPgV-1 RNA and circulating genotypes in patients with hepatitis C from a health service located in the city of Belém, in the state of Pará, Northern Brazil. A total of 147 samples were included in the study from February to December 2019. Among the participants, 72.1% (106/147) were monoinfected with HCV, with detectable HCV viral RNA, and 27.9% (41/147) were coinfected with HCV/HPgV-1. The most frequently found genotypes were HPgV-1 genotypes 1 and 2 (36.6% and 63.4%), respectively. While for HCV there was a predominance of genotypes 1 and 3 (58.5% and 41.5%). No significant differences were found when comparing any risk, sociodemographic, or clinical factors between groups. Also, there was no statistically significant difference when relating the viral genotypes of both agents. This study indicated that the prevalence of infection by HPgV-1 is high in HCV carriers in Belém, Pará, and probably does not change the clinical course of HCV infection, however, further studies are still needed.
Orogenital Human Papillomavirus Infection and Vaccines: A Survey of High- and Low-Risk Genotypes Not Included in Vaccines
Authors: Buttà Michela , Serra Nicola , Panzarella Vera , Fasciana Teresa Maria Assunta , Campisi Giuseppina , Capra Giuseppina
Published: September 2023

Knowledge of human papillomavirus transmission from the genital tract to the oral mucosa remains unsatisfactory, with poor and often inconsistent literature results. The increase in HPV-associated oral malignancies prompts further analysis of the simultaneous detection of the virus in the two anatomical areas and on the identification of genotypes to be included in future vaccines. Therefore, in this retrospective study, we evaluated orogenital HPV concurrence, hrHPV, lrHPV and type-concordance in 337 samples, as well as the prevalence of the most common genotypes not included in HPV vaccines. Concurrence was found in 12.5% (31/248) of cases, hr-concordance in 61.3% (19/31) and lr-concordance in 12.9% (4/31). Finally, type-concordance was found in 32.3% (10/31) of concurrent infections. Regarding the identification of non-vaccine genotypes, the significantly prevalent genotypes in the anogenital area were HPV66 (12.6%, p < 0.0001), HPV53 (11.1%, p < 0.0001), HPV51 (8.7%, p < 0.0001), HPV42 (8.2%, p < 0.0001) and HPV68 (5.6%, p = 0.0034) in women and HPV66 (14.6%, p = 0.0058), HPV42 (12.2%, p = 0.0428), HPV51 (12.2%, p = 0.0428), HPV53 (12.2%, p = 0.0428), HPV70 (12.2%, p = 0.0428) and HPV73 (12.2%, p = 0.0428) in men. Considering the results of our study, we recommend including the high-risk genotypes HPV51, HPV68, HPV53 and HPV66 in future HPV vaccine formulations.
Evaluation of the Microbiological Status of Cattle Carcasses in Mongolia: Considering the Hygienic Practices of Slaughter Establishments
Authors: Bayarsaikhan Munkhgerel , Purevdorj Nyam-Osor , Kim Byoung Hoon , Jung Jae Hun , Cho Gil Jae
Published: September 2023

The meat industry has received great attention in Mongolia, having over 70 million livestock, and is important to the nation’s economy. Systematic microbiological testing of carcasses has not been mandatorily regulated in all abattoir premises, and the efficacy of the introduction of the Good Hygiene Practice and Hazard Analysis Critical Control Points (HACCP) to some plants has not yet been tested microbiologically in Mongolia. Therefore, samples were collected from two establishments: plant A with an HACCP certificate from a third party and plant B without an HACCP certificate. The rates and levels of the total bacterial count (TBC) as overall hygiene indicators, the Enterobacteriaceae count (EBC) as fecal contamination indicators, and the Staphylococcus spp. count (SC) as personal hygiene indicators were determined on different parts of beef carcasses. The contamination rates in most parts were lower in plant A than in plant B (e.g., TBC in the rump and flank: 103–105 and 105–107, in plant A vs. 104–106 and 105–108 in plant B, respectively). Plant A also had a lower EBC and SC (p < 0.001). Furthermore, 2 out of 100 beef carcasses (2%) were positive for enterohemorrhagic Escherichia coli as a foodborne pathogen indicator in plant A.
Runoff Prediction in the Xijiang River Basin Based on Long Short-Term Memory with Variant Models and Its Interpretable Analysis
Authors: Tian Qingqing , Gao Hang , Tian Yu , Jiang Yunzhong , Li Zexuan , Guo Lei
Published: September 2023

The Long Short-Term Memory (LSTM) neural network model is an effective deep learning approach for predicting streamflow, and the investigation of the interpretability of deep learning models in streamflow prediction is of great significance for model transfer and improvement. In this study, four key hydrological stations in the Xijiang River Basin (XJB) in South China are taken as examples, and the performance of the LSTM model and its variant models in runoff prediction were evaluated under the same foresight period, and the impacts of different foresight periods on the prediction results were investigated based on the SHapley Additive exPlanations (SHAP) method to explore the interpretability of the LSTM model in runoff prediction. The results showed that (1) LSTM was the optimal model among the four models in the XJB; (2) the predicted results of the LSTM model decreased with the increase in foresight period, with the Nash–Sutcliffe efficiency coefficient (NSE) decreasing by 4.7% when the foresight period increased from one month to two months, and decreasing by 3.9% when the foresight period increased from two months to three months; (3) historical runoff had the greatest impact on streamflow prediction, followed by precipitation, evaporation, and the North Pacific Index (NPI); except evaporation, all the others were positively correlated. The results can provide a reference for monthly runoff prediction in the XJB.
Quantitative Evaluation of Suspended Solid Runoff from Large-Scale Landslide Areas Presumed to Be the Source of Turbid Water
Authors: Irie Mitsuteru , Nakagawa Atsuki , Higashi Takayoshi
Published: September 2023

In the uppermost stream of the Mimikawa River, in northern Miyazaki Prefecture, the contribution to river turbidity of a huge, collapsed slope alternating sandstone and mudstone layers was qualitatively shown in our previous study. In this study, the water level and turbidity were continuously observed, to obtain a quantitative estimation of this contribution. The conversion equation from the water level to the flow rate is required, but field measurements during the flooding term in the mountainous site are difficult. In this study, a high-resolution survey was conducted, and the relationship was determined via a small-scale hydraulic model shaped using a 3D printer from the survey results, to determine the relationship between the water level and the flow rate. The flow rate time series was reproduced with the distributed runoff model that is verified with the flow rate converted from the water level. The flow rate and turbidity load time series were also estimated from the long-term rainfall. The area of the bare soil surface of each small basin was obtained via satellite image analysis, and the soil yield from each surface condition was calculated. Furthermore, the amount of turbidity produced upstream of Kamishiiba Dam was calculated for each small basin. It was estimated that 24% of the turbidity was generated from the small basin covering 5.7% of the total catchment area. This study showed that it is possible to verify the hydrological model by obtaining the water-level–discharge relationship, even in the mountains, where it is difficult to observe the discharge on-site, via small-scale hydraulic model experiments.
Life History Traits of the Stygophilous Amphipod Synurella ambulans in the Hyporheic Zone of the Lower Reaches of the Upper Sava River (Croatia)
Authors: Gottstein Sanja , Redžović Zuzana , Erk Marijana , Sertić Perić Mirela , Dautović Jelena , Cindrić Mario
Published: September 2023

Estimating the growth and population dynamics of crustaceans is important for understanding the role of species in ecosystems and for conservation and monitoring purposes. This study investigated temporal and spatial variation in population dynamics (growth rate, instantaneous mortality rates, and longevity) of the stygophilous freshwater amphipod Synurella ambulans (F. Müller, 1846), and influencing environmental factors. Seasonal sampling was conducted from December 2018 to October 2019 at two sampling sites (Jarun and Medsave) along the Sava River in northwestern Croatia. A Bhattacharya cohort analysis was applied to the length-frequency data using the FISAT software package. At least four cohorts were distinguished during the year. The possible influence of environmental factors on growth parameters was investigated using Canonical Correspondence Analysis (CCA), which revealed that the important environmental factors influencing S. ambulans abundance were water temperature and dissolved oxygen concentration. The average total body length (TBL) of females was 4.25 mm, while the TBL of males was 3.34 mm. The asymptotic length (L∞) and growth coefficient (K) were estimated to be 6.30 mm and 0.92 year−1 for females and 5.40 mm and 0.59 year−1 for males, respectively, at the Jarun site. L∞ and K were estimated to be 7.20 mm and 0.34 year−1, respectively, for females and 4.00 mm and 1.20 year−1, respectively, for males at the Medsave site. Estimated total mortality (Z) for each sex had higher values for males than females at both sampling sites. The lack of ecological knowledge on S. ambulans populations and relationships with invertebrate communities in the hyporheic zone of the large river ecosystems emphasises the importance of a detailed study for protecting this species and its vulnerable ecotonal groundwater-connected environment.
The Water Flow Regime in the Weir Area for Vascular and Rush Plant Species Composition
Authors: Kiraga Marta , Chyliński Filip , Fornal-Pieniak Beata , Ollik Marcin , Staar Aleksander
Published: September 2023

The hydrotechnical construction, damming up the riverbed, creates two zones of hydraulic conditions, which affect the water discharge and sediment transport routes, as well as plant species composition, as a habitat answer to the hydraulic regime. This study examined the diversity of the vascular and rush plant species upstream and downstream of the weir. The Świder River, a small lowland river in Central Poland, was chosen as a study area. An examined river reach was located at 21 + 340 kilometers of the Świder River. Vegetation properties, plant species, and granulometric fraction composition were recognized at chosen cross-sections along the riverbed where specific hydraulic conditions could be met. The spatial distribution of vortices, smooth or rapid flow areas, and velocity pulsations influence the biotic environment, thereby affecting the species composition, quantity, and plant diversity. In the headwater zone, an environment more favorable to grain accumulation could be met, which was mixed with organic components in an agricultural catchment area. This phenomenon leads to creating favorable conditions for increased biodiversity. The present study demonstrated that small weirs could positively affect the composition of vascular and rush plants.
Combined Physical Process and Deep Learning for Daily Water Level Simulations across Multiple Sites in the Three Gorges Reservoir, China
Authors: Xie Mingjiang , Shan Kun , Zeng Sidong , Wang Lan , Gong Zhigang , Wu Xuke , Yang Bing , Shang Mingsheng
Published: September 2023

Water level prediction in large dammed rivers is an important task for flood control, hydropower generation, and ecological protection. The variations of water levels in large rivers are traditionally simulated based on hydrological models. Recently, most studies have begun applying deep learning (DL) models as an alternative method for forecasting the dynamics of water levels. However, it is still challenging to directly apply DL to the simultaneous prediction of water levels across multiple sites. This study attempts to develop a hybrid framework by combining the Physical-based Hydrological model (PHM) and Long Short-Term Memory (LSTM). This study hypothesizes that our hybrid model can enhance the predictive accuracy of water levels in large rivers, because it considers the temporal-spatial information of mainstream-tributaries relationships. The effectiveness of the proposed model (PHM-BP-LSTM) is evaluated using the daily water levels from 2012 to 2018 in the Three Gorges Reservoir (TGR), China. Firstly, we use a hydrological model to produce a large amount of water level data to solve the limited training data set. Then, we use the Back Propagation (BP) neural network to capture the mainstream-tributaries relationship. The future changes in water levels in the different mainstream stations are simultaneously predicted by the LSTM model. We reveal that our hybrid model yields satisfactory accuracy for daily water level simulations at fourteen mainstream stations of the TGR. We further demonstrate the proposed model outperforms the traditional machine learning methods in different prediction scenarios (one-day-ahead, three-day-ahead, seven-day-ahead), with RMSE values ranging from 0.793 m to 1.918 m, MAE values ranging from 0.489 m to 1.321 m, and the average relative errors at each mainstream station are controlled below 4%. Overall, our PHM-BP-LSTM, combining physical process and deep learning, can be viewed as a potentially useful approach for water level prediction in the TGR, and possibly for the rapid forecast of changes in water levels in other large rivers.
Multi-Objective Optimal Scheduling of Generalized Water Resources Based on an Inter-Basin Water Transfer Project
Authors: Xi Haichao , Xie Yangyang , Liu Saiyan , Mao Qing , Shen Teng , Zhang Qin
Published: September 2023

For inter-basin water transfer (IBWT) projects, the conflict between social, economic, and ecological objectives makes water allocation processes more complex. Specific to the problem of water resource conflict in IBWT projects, we established an optimal allocation model of generalized (conventional) water resources (G (C) model) to demonstrate the advantages of the G model. The improved multi-objective cuckoo optimization algorithm (IMOCS) was applied to search the Pareto frontiers of the two models under normal, dry, and extremely dry conditions. The optimal allocation scheme set of generalized (conventional) water resources (G (C) scheme set) consists of ten Pareto optimal solutions with the minimum water shortage selected from the Pareto optimal solutions of the G (C) model. The analytic hierarchy process (AHP) combined with criteria importance using the inter-criteria correlation (CRITIC) method was used to assign weights of evaluation indexes in the evaluation index system. The non-negative matrix method was employed to evaluate the G (C) scheme set to determine the best G (C) scheme for the Jiangsu section of the South-to-North Water Transfer (J-SNWT) Project. The results show that (1) the Pareto frontier of the G model is better than that of the C model, and (2) the best G scheme shows better index values compared to the best C scheme. The total water shortages are reduced by 254.2 million m3 and 827.9 million m3 under the dry condition, respectively, and the water losses are reduced by 145.1 million m3 and 141.1 million m3 under the extremely dry condition, respectively. These findings could not only provide J-SNWT Project managers with guidelines for water allocation under normal, dry, and extremely dry conditions but also demonstrate that the G model could achieve better water-allocation benefits than the C model for inter-basin water transfer projects.
Job satisfaction and its moderating effect on the relationship between work climate and commitment in the context of a pandemic
Authors: Paquin Samuel , Jean-Denis Salomé , Chouinard-Larouche Talina , Proulx Felix A.
Published: September 2023

This cross-sectional study explores the impact of job satisfaction on the link between work climate and work engagement in the context of a pandemic. A self-reported questionnaire was administered to 261 Frenchspeaking workers from Quebec. The results suggest that low satisfaction moderates the relationship between work climate and two dimensions of engagement: vigor (β = -.098, SE = .048, p = .044) and dedication (β = -.093, SE = .047, p = .049). This study highlights the impact of job satisfaction as a moderating variable in the context of a pandemic and justifies the importance of prioritizing employee satisfaction before deploying measures to improve the work climate.
Alexithymia’s Epiphenomenality as a Mediator Between Unsupportive Emotion Socialization and Later Psychopathology
Authors: Talbot Philippe , Lecours Serge
Published: September 2023

In accord with its conceptualization as a deficit, alexithymia has often been theorized and tested as a mediator of the association between childhood risk factors and later psychopathology. However, this is questioned by recent research which conceptualizes alexithymia as the result of negative perceptions of emotions, which by themselves could act as the real mediator of this association between childhood risk factors and later psychopathology. Cross-sectional data were collected through self-report questionnaires,from 193 undergraduate students. Results suggest that, in non-clinical samples, the association between an unsupportive emotion socialization alexithymia is completely mediated by avoidance-related negative attitudes towards sadness. Also, the association between emotion socialization and later psychopathology is not (in the case of borderline personality traits) or only minimally (in the case of depressive symptoms) mediated by alexithymia when these avoidance-related negative attitudes towards sadness are also included as a mediator. Theoretical and clinical implications are discussed.
Does Level of Parental Involvement Predict Juvenile Delinquency?
Authors: Ripley-McNeil Evan , M. Cramer Kenneth
Published: September 2023

Overall, research supports the positive impact of parents on their children; effective parenting not only prevents criminal behavior in youth but also cultivates a host of other desirable psychosocial outcomes later in life. Parental involvement is examined in this archival analysis of the National Survey on Drug Use and Health (NSDUH) to determine whether parental involvement predicts juvenile delinquency, using a community sample of 13,287 youth aged 12 to 17 years. Parental involvement was negatively associated with number of arrests and differed considerably between justice-involved and non-justice-involved youth; racial category was included as an exploratory analysis. Whether youth were placed on probation (but not parole) was coupled with lower parental involvement compared to non-justice-involved youth. These results are indicative of the protective effect that parents may have on adolescent outcomes, showing that higher parental involvement is associated with reduced juvenile delinquency.
Sustentabilidade, responsabilidade social e governança sustentável das cidades
Authors: Ramos Juliano Spina , Peruzzo Júnior Léo
Published: September 2023

Esta pesquisa visa avaliar a existência e a abrangência de medidas de desenvolvimento sustentável e ‘Governança sustentável das cidades’ nos dez menores municípios do estado do Paraná, no Brasil. A metodologia foi elaborada com base na definição de desenvolvimento sustentável de Sachs, pois essa definição traz e expande o “consenso” triple bottom line, permitindo assim uma análise mais completa sobre o desenvolvimento sustentável das cidades abrangendo as categorias: Social, Econômica, Ecológica, Espacial e Cultural. Dessa forma, pode-se traçar um patamar mínimo completo quanto às políticas nessa área, facilitando a projeção de patamares mínimos também para municípios maiores. A metodologia da pesquisa foi elaborada a partir de uma lista de aspectos distribuídos em categorias que deveriam ser atendidos num critério de 70% de preenchimento como padrão mínimo (por sete dos dez municípios da amostra). Dados referentes a cada município foram coletados junto a fontes Oficiais (governamentais federais e estaduais), complementados em informações de veículos de imprensa e outras plataformas on-line. Ao final, a pesquisa pode elaborar a abrangência mínima comum a municípios de pequeno porte do estado do Paraná em cada área abrangida por Sachs, sendo ele:  Política pública especificamente voltada aos Investimentos em saúde preventiva, áreas de preservação cultural (tombamentos etc.) ou áreas para cultura (teatros, museus etc.), manutenção municipal em toda área urbana (serviço de limpeza e coleta de lixo), legislação sobre planejamento urbano e/ou plano diretor, espaço público urbano voltado ao lazer, preparo da infraestrutura especificamente para lidar com as mudanças climáticas e /ou plano municipal de mudanças climáticas aprovado, legislação municipal específica para temas ambientais, unidades básicas de saúde a pelo menos 3 km de distância de qualquer ponto do perímetro urbano e demanda atendida de vagas na pré-escola e ensino fundamental (observar ressalva na análise descritiva de resultados).
Supporting Knowledge Communities: Examples from Organisations with Innovative Management Models
Authors: Mládková Ludmila
Published: September 2023

The paper discusses how three organisations with innovative management models support the creation and work of knowledge communities. In the current unstable environment, knowledge, the ability to acquire it, create it and share it becomes one of the most critical aspects of the success of any organisation. Even though organisations may not be consciously aware of this, some adopt specific innovative management models that support their work with knowledge. The management model is how an organisation is managed, e.g. how managerial activities are executed, interlinked and organised into the systemic approach. Traditionally, management models were based on hierarchies and clear rules concerning managerial functions (planning, deciding, organising, leadership and controlling). Innovative management models are flatter; employees are empowered to decide and set objectives; control is decentralised. Some innovative management models are self-managing and look unusual, even crazy, as they deny our expectations about how organisations should be managed. Innovative management models help improve knowledge flow and sharing in an organisation. The paper provides examples of organisations whose unusual management models go even further and support or are intended to support the creation and work of knowledge communities. Knowledge communities usually benefit organisations by providing an environment where employees extensively interact, share and create knowledge. They are the silos of new knowledge, inventions and innovations. Organisations with unusual management models use different managerial tools and methods to support knowledge communities. Some organisations are successful, and some fail. In the paper, we show examples of both groups of organisations and explain why some management models work and support knowledge communities, and others do not. The paper uses secondary data about organisations available in the theoretical and managerial literature on these organisations and information from their web pages.
Mitigating the Disruptive Consequences of Knowledge Loss in Organizational Settings: Knowledge Loss Clusters and Potential Organizational Interventions
Authors: Mariano Stefania
Published: September 2023

This paper reviews the management and organization studies literature underpinning the construct of knowledge loss. It proposes that five clusters of knowledge loss influence the capacity of organizations to retain their valuable organizational knowledge. Such clusters include hanging, fading, disengaging, dissolving, and vanishing. To overcome the disruptive consequences of knowledge loss, this paper proposes five potential organizational interventions including reminding, refreshing, re-acquiring, re-building, and re-inventing. This paper discusses the implications for theory and managerial practice in the context of the knowledge management literature and provides directions to future research.
Knowledge-Oriented Leadership in Enhancing Corporate Sustainable Performance in Small and Medium-Sized Enterprises – Development Potential Perspective
Authors: Okręglicka Małgorzata
Published: September 2023

Corporate sustainability is perceived as a multidimensional construct of social, economic, and environmental development, as well as a business strategy that considers future development needs. It is one of the organization's responses to the new challenges of the turbulent external environment. Currently, the overall business performance also includes the organization's performance in various non-financial aspects, such as ecological or social dimensions of sustainable development, and this approach differs from traditional financial business performance. Thus, the construct of corporate sustainable performance (CSP) is a response to the requirements of stakeholders and society. Top leadership recognizes the importance of CSP in core business from the perspective of environmental, social, and economic issues. The implementation of principles and practices of sustainable development and the measurement and continuous improvement of CSP require advanced knowledge that must be disseminated throughout the organization. Knowledge-oriented leaders can play an essential role in effective CSP management. Knowledge-oriented leadership has increasingly been recognized as an essential element for organizations to enhance knowledge management in every area of business activity, especially at the strategic level. From this perspective, the main aim of the study was to investigate the impact of knowledge-oriented leadership on the CSP in terms of its environmental, social, and economic dimensions, and thus on the organization's development. Following a review of the literature, the questionnaire survey was developed and implemented in 2023. The research sample consisted of 200 small and medium-sized enterprises from Poland. The results of this study confirmed the statistically significant correlation between knowledge-oriented leadership and CSP in all dimensions.
Mapping Knowledge-Life Cycle to Process Architecture
Authors: Sabri Mohammad Omar
Published: September 2023

A knowledge life cycle has several knowledge management (KM) processes that differ from one model to another. Exploration and utilization of these processes on high levels require mapping them to the core business processes in an organization. A business process architecture (BPA) identifies these core processes and highlights their relationships. Riva method is a BPA approach that allows characterizing these key processes using essential business entities (EBEs). It also proposes a few steps to develop an organization's overall business process architecture (BPA). Matching the appropriate knowledge management (KM) processes to these steps clarifies KM’s role in business process modeling. In addition, it contributes to discovering gaps and developing business process modeling (BPM). The Riva-based Knowledge Life Cycle (KLC) model has been suggested to map KM processes to Riva BPA steps. The model is divided into three phases, sequentially including the KM processes of exploration and identification, capturing and refinement, and creation and exploitation. The exploration and identification phase involves searching and discovering business scope resources (Riva step one). Capturing and refinement is the phase of extracting candidate EBEs, determining the EBEs, and filtering them into Units of Work (UOWs) (Riva steps two and three). Finally, creation and exploitation processes involve generating dynamic relationships among UOWs and transforming the UOWs diagram into the first and second-cut process architecture diagrams (Riva steps four, five, and six). A case study of a bank in Jordan will be applied to evaluate this model. A mixed-methods approach using structured and semi-structured interviews will be conducted with the bank financing team to measure KM processes’ involvement. Accordingly, the results are expected to identify which KM processes are more engaged to process architecture. It could also suggest using these KM processes as a benchmark to measure the achievement of each BPA step implementation in its domain.
THE EFFECT OF PRESSURE AND OPPORTUNITY IN DETECTING FINANCIAL STATEMENT FRAUDS IN CONSUMER GOODS INDUSTRY COMPANIES
Authors: Muchran Muchriana , Irawati Fani , Razak Linda Arisanti
Published: September 2023

This study aims to determine the effect of pressure and opportunity in detecting fraud in the financial statements of companies in the consumer goods industry sector which are listed on the Indonesia Stock Exchange. This study uses quantitative data obtained from annual reports of companies that have been audited during the study period. The population of this study is the consumer goods industry with a population of 63 companies, using a porposive sampling technique, the number of companies that meet the sample criteria is 22 companies. The analysis technique used is multiple linear regression technique using the Common Model Effect (CEM) approach to panel data. The results of this study found that Financial Stability, Financial Target and Ineffective Monitoring had a positive and significant effect on the detection of fraud in the financial statements of companies in the consumer goods industry sector which were listed on the Indonesia Stock Exchange. Whereas External Pressure has a negative and insignificant effect on the detection of fraud in the financial statements of companies in the consumer goods industry sector that are listed on the Indonesia Stock Exchange.