Le bassin minier du Nord-Pas-De-Calais pris dans les rets de l’aménagisme généralisé by Patrick Céleste

“…Another similarly destructive process can be seen in the general processes of “everything by car”, urban sprawl, etc. …”
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Rural-urban transformation shapes oasis agriculture in Morocco’s High Atlas Mountains by Youness Boubou, Kira Fastner, Andreas Buerkert

“…Land management has shifted from labor-intensive multiple cropping and natural fertilization to monocropping of barley for local livestock feeding and increased application of mineral fertilization. …”
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Exotic species occupancy in an urban reserve: Explosion or stability? by D. Alejandro Espinosa-Lucas, Gonzalo A. Ramírez-Cruz, Israel Solano-Zavaleta, J. Jaime Zúñiga-Vega

“…In addition, other non-urban features such as high vegetation cover and richness, rock cover, and deep soils also facilitate the presence of some of our focal species. …”
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Proximate, Mineral Contents and Physicochemical Properties of <i>Chrysophyllum Albidum</i> (African Star Apple) Kernel Flour and Oil by S.S. Audu, C.I. Beetseh, D.U. Edward-Ekpu, A.A. Ewuga

“…This suggests that the flour can be a used as an alternative to cereals in compounding animal feed. The results from the Mineral Analysis showed the kernel has 0.01 mg/g of copper, 0.01 mg/g of Iron, 37.50 mg/g of phosphorus, 57.37 mg/g of calcium and 0.44 mg/g magnesium. …”
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Bilingual hate speech detection on social media: Amharic and Afaan Oromo by Teshome Mulugeta Ababu, Michael Melese Woldeyohannis, Emuye Bawoke Getaneh

“…In this work, a Bilingual hate speech detection for Amharic and Afaan Oromo languages were conducted using four different deep learning classifiers (CNN, BiLSTM, CNN-BiLSTM, and BiGRU) and three feature extraction (Keras word embedding, word2vec, and FastText) techniques. …”
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PLZero: placeholder based approach to generalized zero-shot learning for multi-label recognition in chest radiographs by Chengrong Yang, Qiwen Jin, Fei Du, Jing Guo, Yujue Zhou

Subjects: “…Generalized zero-shot learning…”
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Assessment of the epizootic situation by invasive diseases in reindeer farms in the Murmansk Oblast by E. V. Firsova, R. A. Pochepko

“…The research was carried out in two large reindeer farms – APC “Tundra” and APC HFESEN “Olenevod” during the planned slaughter of reindeer. A totalof 4,048 deer carcasses of all ages were examined and 199 samples of faeces were tested. …”
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Gender Disparities and Socioeconomic Triggers in Filicide-Suicide—An Analysis of Media Portrayals by Zainab Pervaiz, Maryam Ayub, Nazish Imran

“…Female perpetrators and victims dominate these incidents, reflecting deep-rooted gender inequalities. Women’s disproportionate exposure to socioeconomic hardships and societal pressures likely contributes to these tragic outcomes. …”
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Prevalence of musculoskeletal disorders among garment workers: a systematic review and meta-analysis by Francis Fatoye, Tadesse Gebrye, Chidozie Mbada, Phoebe Apeagyei

“…Random-effects meta-analysis was used to estimate pooled prevalence.Results The search yielded 258 published studies, of which 14 were deemed relevant and were included in this review. …”
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Pastoral livestock farming constraints and adaptation strategies in response to institutional reforms in the Sudano-Sahelian zone of West Africa by Basnewindé Ilboudo, Alhassane Zaré, Alhassane Zaré, Innocent Charles Emmanuel Traoré, Innocent Charles Emmanuel Traoré, Loyapin Bondé, Reginald Tang Guuroh, Reginald Tang Guuroh, Reginald Tang Guuroh, Oumarou Ouédraogo

“…They also combine socio-professional conversion to support their livelihoods, with atypical transhumance in the rainy season and seek herd feed satisfaction. New forage harvesting techniques, supported by training, and the integration of agriculture into livestock farming are opportunities to promote agropastoralism, more sustainable. …”
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Effects of plant functional group removal on caterpillars (Gynaephora alpherakii) performance and plant production in an alpine meadow by Rui Cao, Han Chen, Jingran Cai, Chen Hang, Ziyu Zhang, Yingchun Miao, Peng Xie

“…Further investigation by the confirmatory microcosm experiment indicated that the absence of forbs decreased the feeding time of caterpillars and deprived caterpillars of refuge from the midday heat and intense sunlight, ultimately resulting in lower body size and higher larval mortality. …”
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Routine Multimodal Antiemesis Including Low-Dose Perphenazine in an Ambulatory Surgery Unit of a University Hospital: A 10-Year History by Brian A. Williams, Michael L. Kentor, Susan J. Skledar, Steven L. Orebaugh, Manuel C. Vallejo

“…In settings where droperidol is still routinely used and deemed acceptable by local scientific ethics committees, we believe that oral perphenazine 8 mg should be compared head to head with droperidol 0.625–1.25 mg in patients receiving coadministered dexamethasone and 5-HT3 antagonists in order to determine differences in synergistic efficacy, if any. …”
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DR-Z2AN: dual-recurrent neural network with a tri-channel attention mechanism for financial management prediction by Salem Knifo, Ahmad Alzubi

“…Therefore, in order to resolve these limitations; a deep learning-based model is developed in this study for efficient financial management prediction. …”
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Analysis of the correlations between changes in posterior segment and anterior chamber segment after implantable collamer lens implantation in highly myopic patients by Yifei Peng, Lu Xiong, Haokun Qu, Yang Liu, Zheng Wang

“…The study aimed to assess alterations in superficial and deep vessel density (SVD, DVD), foveal avascular zone (FAZ) area, and retinal nerve fiber layer (RNFL) thickness to clarify the safety profile of ICL implantation. …”
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Adaptive Learning Algorithms for Low Dose Optimization in Coronary Arteries Angiography: A Comprehensive Review by Komal Tariq, Muhammad Adnan Munir, Hafiza Tooba Aftab, Amir Naveed, Ayesha Yousaf, Sajjad Ul Hassan

“…Innovative methods such as Model-Based Deep Learning (MBDL) and Self-Attention Generative Adversarial Networks (SAGAN) demonstrate efficient reconstruction capabilities. …”
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Women's preferences, impacts, and satisfaction with companion support during labour and delivery experiences in Oman by Nasar Alwahaibi, Fatema Alajaimi, Hoor Alhabsi, Alzahra Alkalbani, Rodina Aljulandani

“…Among women who had companions, 84.1% reported feeling calmer and more comfortable. 91.9% of companions supported women with encouraging words, and 92.6% perceived their support as highly beneficial to the women. …”
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The Effect of Exercise Intervention on Non-Specific Neck Pain and Head and Neck Angles Among Adult Smartphone Users by Sara Tabanfar, Seyvan Sobhani, Ali Safari Variani, Sakineh Varmazyar

“…The experimental group performed these exercises for 12 weeks, with five weekly sessions lasting 15 minutes each. …”
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Predicting bullying victimization among adolescents using the risk and protective factor framework: a large-scale machine learning approach by Ethan Low, Joshua Monsen, Lindsay Schow, Rachel Roberts, Lucy Collins, Hayden Johnson, Carl L. Hanson, Quinn Snell, E. Shannon Tass

“…Abstract Background Bullying, encompassing physical, psychological, social, or educational harm, affects approximately 1 in 20 United States teens aged 12-18. The prevalence and impact of bullying, including online bullying, necessitate a deeper understanding of risk and protective factors to enhance prevention efforts. …”
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Effects of replacing fishmeal with soybean meal on growth performance, liver antioxidant capacity and intestinal health in juvenile Asian red-tailed catfish (Hemibagrus wyckioides) by Weijia Cai, Xinping Li, Minglang Cai, Zhe Tang, Bo Zhu, Mengxi Yang, Yi Hu, Jihong Dai

“…The results of the broken-line regression analysis for FCR and SGR indicate that the optimal substitution level of FM with SBM for H. wyckioides feed is estimated to be 36.83 %-37.31 %. Substitution levels exceeding this range, such as 45 % and 60 %, adversely affect liver and intestinal health.…”
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A hybrid CNN-LSTM model with adaptive instance normalization for one shot singing voice conversion by Assila Yousuf, David Solomon George

“…Traditional voice conversion techniques primarily emphasize singer similarity, often leading to robotic-sounding singing voices. Deep learning-based singing voice conversion techniques, however, focus on disentangling singer-dependent and singer-independent features. …”
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