bluuebunny/crossref_metadata_2025 huggingface dataset:
Vision-related quality of life in patients treated for ocular syphilis
Authors: Silva Milena Simões F. , Arantes Tiago E. , Moreto Renata , Smith Justine R. , Furtado João M.
Published: August 2023

Multiple studies have showed negative impact of non-infectious uveitis on quality of life (QoL). Less is understood regarding life experiences in patients with infectious uveitis. We investigated vision-related QoL in individuals who had recovered from ocular syphilis. 32 adults treated for ocular syphilis at a uveitis service in Brazil completed the 25-item National Eye Institute Visual Function Questionnaire (NEI VFQ-25), and a comprehensive ophthalmic examination was performed. Medical records were reviewed to confirm resolution of ocular inflammation for 3 months pre-enrolment, and collect clinical data. The NEI VFQ-25 composite score was low overall (75.5 ± 19.8, mean ± standard deviation), and subscale scores varied from relative lows of 59.1 ± 39.6 (driving) and 60.9 ± 24.5 (mental health), to relative highs of 84.8 ± 21.8 (ocular) and 89.1 ± 21.0 (color vision). Adults aged over 40 years and those with a final visual acuity of 20/50 or worse had significantly lower mean composite and subscale scores. Other clinical characteristics—including gender, HIV co-infection, and type of uveitis—did not significantly influence scores. Our findings, taken in context with previous observations that prompt recognition achieves better vision outcomes, suggest early treatment may improve QoL after recovery from ocular syphilis.
Decreased adhesion to endothelium leads to elevated neutrophil granulocyte count in hereditary angioedema patients
Authors: Kajdácsi Erika , Balla Zsuzsanna , Pólai Zsófia , Cervenak László , Farkas Henriette
Published: August 2023

As many aspects of hereditary angioedema (HAE) due to C1-inhibitor (C1-INH) deficiency (C1-INH-HAE) cannot be explained with elevated bradykinin level alone, it has recently become clear that other factors also play an important role in the pathogenesis. One of these factors could be elevated neutrophil granulocyte (NG) counts, which are associated with increased NG activation in C1-INH-HAE patients; however, their origin has not been elucidated so far. Here, we aimed to investigate whether the excess of NGs is due to disturbed maturation, biased circulating/marginated pool equilibrium or decreased elimination. We enrolled 20 attack-free C1-INH-HAE patients together with 21 healthy controls and collected blood samples. We compared cell surface maturation markers, adhesion molecules, cytokine receptors, and Ca2+-mobilization of NG by flow cytometry, activation markers by ELISA, and NG/endothelial cell adhesion by automated pipetting system. Cell-surface markers showed normal maturation of NGs in C1-INH-HAE patients. Adhesion of NGs to endothelial cells pretreated with lipopolysaccharide or phorbol 12-myristate 13-acetate was significantly weaker in samples from C1-INH-HAE patients and bradykinin had no effect on the adhesion. NGs from C1-INH-HAE patients were in an activated state when assessed by soluble activation markers without any stimulation. Our data support that the maturation of NGs in C1-INH-HAE patients is normal, whereas adhesion properties of patient-derived NGs to the endothelium are reduced compared to those from healthy controls, indicating a bias between the circulating and marginated pools of NGs in patients. Bradykinin may not be responsible for reduced adhesion properties of NGs.
Mueller matrix polarization parameters correlate with local recurrence in patients with stage III colorectal cancer
Authors: Tumanova Kseniia , Serra Stefano , Majumdar Anamitra , Lad Jigar , Quereshy Fayez , Khorasani Mohammadali , Vitkin Alex
Published: August 2023

The peri-tumoural stroma has been explored as a useful source of prognostic information in colorectal cancer. Using Mueller matrix (MM) polarized light microscopy for quantification of unstained histology slides, the current study assesses the prognostic potential of polarimetric characteristics of peri-tumoural collagenous stroma architecture in 38 human stage III colorectal cancer (CRC) patient samples. Specifically, Mueller matrix transformation and polar decomposition parameters were tested for association with 5-year patient local recurrence outcomes. The results show that some of these polarimetric parameters were significantly different (p value < 0.05) for the recurrence versus the no-recurrence patient cohorts (Mann–Whitney U test). MM parameters may thus be prognostically valuable towards improving clinical management/treatment stratification in CRC patients.
Catalytic hydrocracking of jatropha oil over natural clay for bio-jet fuel production
Authors: Hassan S. H. , Attia N. K. , El Diwani G. I. , Amin Sh. K. , Ettouney R. S. , El-Rifai M. A.
Published: August 2023

Currently, the conversion of biomass to produce high-valued biofuels such as biodiesel and bio-jet fuel has attached booming interests, when used for partial replacement of petroleum fuels in different ratios is a promising solution due to the problem of depleting petroleum reserves and environmental purposes. Non-edible Jatropha oil can be transformed to biofuel when subjected to were hydrocracking at hydrogen pressure using an activated natural clay as a catalyst in a high pressure batch reactor. The type of product and its quality and quantity depend on the process conditions such as reaction time, temperature, and catalyst type, form, and amount. The present work aims to study the hydrocracking process of Jatropha oil at different operating conditions. The catalyst is characterized using SEM, FTIR, XRF, and XRD. The effect of process conditions variation have been studied and discussed. The results showed the highest yield of 40% bio-jet fuel was achieved at a temperature of 350 °C, H2 pressure of 4 bar, and reaction time of 18 min. the bio-jet fuel products were tested and their specifications were conformed to ASTM D1655 specifications, viz the freezing point (−56 °C), the flash point (53 °C), and existent gum content (5.9 mg/100 ml).
Optogenetic stimulation probes with single-neuron resolution based on organic LEDs monolithically integrated on CMOS
Authors: Taal Adriaan J. , Uguz Ilke , Hillebrandt Sabina , Moon Chang-Ki , Andino-Pavlovsky Victoria , Choi Jaebin , Keum Changmin , Deisseroth Karl , Gather Malte C. , Shepard Kenneth L.
Published: August 2023

The use of optogenetic stimulation to evoke neuronal activity in targeted neural populations—enabled by opsins with fast kinetics, high sensitivity and cell-type and subcellular specificity—is a powerful tool in neuroscience. However, to interface with the opsins, deep-brain light delivery systems are required that match the scale of the spatial and temporal control offered by the molecular actuators. Here we show that organic light-emitting diodes can be combined with complementary metal–oxide–semiconductor technology to create bright, actively multiplexed emissive elements. We create implantable shanks in which 1,024 individually addressable organic light-emitting diode pixels with a 24.5 µm pitch are integrated with active complementary metal–oxide–semiconductor drive and control circuitry. This integration is enabled by controlled electrode conditioning, monolithic deposition of the organic light-emitting diodes and optimized thin-film encapsulation. The resulting probes can be used to access brain regions as deep as 5 mm and selectively activate individual neurons with millisecond-level precision in mice.
Atomic-scale surface restructuring of copper electrodes under CO2 electroreduction conditions
Authors: Amirbeigiarab Reihaneh , Tian Jing , Herzog Antonia , Qiu Canrong , Bergmann Arno , Roldan Cuenya Beatriz , Magnussen Olaf M.
Published: August 2023

Potentiodynamic methods that induce structural changes in Cu catalysts for the electrochemical reduction of CO2 (CO2RR) have been identified as a promising strategy for steering the catalyst selectivity towards the generation of multi-carbon products. In current approaches, active species are created via a sequential Cu oxidation–reduction process. Here we show by in situ scanning tunnelling microscopy, surface X-ray diffraction and Raman spectroscopy measurements that low-coordinated Cu surface species form spontaneously near the onset of CO2 electrocatalytic reduction. This process starts by CO-induced Cu nanocluster formation in the initial stages of the reaction, leading to irreversible surface restructuring that persists over a wide potential range. On subsequent potential increase, the nanoclusters disperse into Cu adatoms, which stabilize reaction intermediates on the surface. The observed self-induced formation of undercoordinated sites on the CO2-converting Cu catalyst surface can account for its reactivity and may be exploited to (re)generate active CO2RR sites by potentiodynamic protocols.
Liraglutide restores impaired associative learning in individuals with obesity
Authors: Hanssen Ruth , Rigoux Lionel , Kuzmanovic Bojana , Iglesias Sandra , Kretschmer Alina C. , Schlamann Marc , Albus Kerstin , Edwin Thanarajah Sharmili , Sitnikow Tamara , Melzer Corina , Cornely Oliver A. , Brüning Jens C. , Tittgemeyer Marc
Published: August 2023

Survival under selective pressure is driven by the ability of our brain to use sensory information to our advantage to control physiological needs. To that end, neural circuits receive and integrate external environmental cues and internal metabolic signals to form learned sensory associations, consequently motivating and adapting our behaviour. The dopaminergic midbrain plays a crucial role in learning adaptive behaviour and is particularly sensitive to peripheral metabolic signals, including intestinal peptides, such as glucagon-like peptide 1 (GLP-1). In a single-blinded, randomized, controlled, crossover basic human functional magnetic resonance imaging study relying on a computational model of the adaptive learning process underlying behavioural responses, we show that adaptive learning is reduced when metabolic sensing is impaired in obesity, as indexed by reduced insulin sensitivity (participants: N = 30 with normal insulin sensitivity; N = 24 with impaired insulin sensitivity). Treatment with the GLP-1 receptor agonist liraglutide normalizes impaired learning of sensory associations in men and women with obesity. Collectively, our findings reveal that GLP-1 receptor activation modulates associative learning in people with obesity via its central effects within the mesoaccumbens pathway. These findings provide evidence for how metabolic signals can act as neuromodulators to adapt our behaviour to our body’s internal state and how GLP-1 receptor agonists work in clinics.
Toward efficient electrodes for a high-performance fast-charge Li-ion battery: molecular dynamics simulation and DFT calculations
Authors: Zaboli Ameneh , Raissi Heidar , Hashemzadeh Hassan , Farzad Farzaneh
Published: August 2023

Due to the increasing demand for electrochemical energy storage, rechargeable lithium-ion batteries (LIBs) are gaining more and more attention.
Enhancement of the peroxidase-like activity of hollow spherical FexNi1−xS2/SC nanozymes
Authors: Tan Hao , Li Chen , Nan Zhaodong
Published: August 2023

The synergistic interaction between Fe and Ni, S–C bond formation, and hollow carbon spheres enhanced the nanozymic activity of Fe0.75Ni0.25S2/SC.
Recent advances in oxidative catalytic applications of polyoxovanadate-based inorganic–organic hybrids
Authors: Li Jikun , Wei Chuanping , Han Yinfeng , Hu Changwen
Published: August 2023

The oxidative catalytic applications of polyoxovanadate-based inorganic–organic hybrid (POVH) materials have been summarized for the transformation of organic compounds in this perspective article.
Maternal hair segments reveal metal(loid) levels over the course of pregnancy: a preliminary study in Southern China
Authors: Liu Bingqing , Cai Fengshan , Tang Bin , Li Jialu , Yan Xiao , Du Dongwei , Zheng Jing , Ren Mingzhong , Yu Yunjiang
Published: August 2023

Maternal hair segmental analysis of most metal(loid)s has advantages in describing exposure levels during pregnancy due to good temporal correlations and stabilities and has monitoring sensitivity similar to that of conventional biological samples.
Acceleration of sand filtration start-up for manganese-containing groundwater treatment: microbial-mediated autocatalytic oxidation of manganese oxides
Authors: Yang Haiyang , Bai Langming , Yu Huarong , Shu Xinying , Tang Xiaobin , Du Xing , Qu Fangshu , Rong Hongwei , Li Guibai , Liang Heng
Published: August 2023

Mn removal performance in biotic and abiotic accelerated rapid sand filters.
Identification of novel 1,2,3-triazole isatin derivatives as potent SARS-CoV-2 3CLpro inhibitors via click-chemistry-based rapid screening
Authors: Jiang Xiangyi , Li Jing , Viayna Antonio , Luque F. Javier , Woodson Molly , Jing Lanlan , Gao Shenghua , Zhao Fabao , Xie Minghui , Toth Karoly , Tavis John , Tollefson Ann E. , Liu Xinyong , Zhan Peng
Published: August 2023

SARS-CoV-2 3-chymotrypsin-like protease (3CLpro) is considered an attractive target for the development of anti-COVID-19 agents due to its vital function.
Controllable-morphology polymer blend photonic metafoam for radiative cooling
Authors: Wang Yajie , Wang Tiecheng , Liang Jun , Wu Jiawei , Yang Maiping , Pan Yamin , Hou Chong , Liu Chuntai , Shen Changyu , Tao Guangming , Liu Xianhu
Published: August 2023

A strategy utilizing a unique porous polymer blend foam with strong solar reflectivity (97%), superior thermal emissivity (91%) and low thermal conductivity (46 mW m−1 K−1) for building cooling applications was designed.
Influence of Sn doping on the optoelectronic properties of ZnO nanoparticles
Authors: Munna Nadim , Abdur Rahim , Islam Robiul , Bashar Muhammad Shahriar , Farhad Syed Farid Uddin , Kamruzzaman Md. , Aziz Shahin , Shaikh Md. Aftab Ali , Hossain Mosharof , Jamal Mohammad Shah
Published: August 2023

The optoelectronic properties of Sn-doped ZnO nanoparticles.
Synthesis of Ru(ii) cyclometallated complexesviaC(aryl)–S bond activation: X-ray structure, DNA/BSA protein binding and antiproliferative activity
Authors: Das Akash , Mandal Subrata , Mukherjee Rimi , Naskar Rahul , Murmu Nabendu , Mondal Tapan K.
Published: August 2023

New Ru(ii) cyclometallated complexes have been synthesizedviaC(aryl)–S bond activation having potent antiproliferative activity.
Catalytic oxidative conversion of C/G-type lignin coexisting in Tung nutshells to aromatic aldehydes and acids
Authors: Xie Hongmei , Zhu Guozhi , Ye Dawei , Cai Weiquan , Zhang Junjie , Huang Kangping , Mai Yuliang , Liao Bing , Chen Jiazhi
Published: August 2023

A catalytic oxidation strategy is reported for the conversion of C/G-lignins coexisting in Tung nutshells to produce aromatic aldehydes and acids. A C/G monomer yield as high as 60.8 mg g−1 (or 12.9 wt%) was achieved by the CuCl2/CH3CN/H2O system.
Dumbbells, chains, and ribbons: anisotropic self-assembly of isotropic nanoparticles
Authors: Lavagna Enrico , Salassi Sebastian , Bochicchio Davide , Rossi Giulia
Published: August 2023

Using molecular dynamics simulations, we show that amphiphilic gold nanoparticles, isotropically functionalized with a soft ligand shell, self-assemble into different anisotropic structures, depending on the hydrophobic ligand fraction.
Metallic tin nanodots inducing an interfacial adsorption–insertion mechanism for carbon nano-honeycombs with enhanced sodium storage
Authors: Ni Xuepeng , Li Kunming , Wang Xin , Zhao Xian , Li Dong , Chen Huifang , Wu Qilin , Ju Anqi , Zhu Meifang
Published: August 2023

Attributed to the strong coupling effect between interfaces and Sn nanodots, as well as the Na+ migration pathway of the interfacial adsorption–insertion mechanism, the prepared Sn/N-CNs revealed superior cycling stability.
Synthesis and reactivity of a uranium(iv) complex supported by a monoanionic nitrogen–phosphorus ligand
Authors: Li Kai , He Jialu , Zhao Yue , Zhu Congqing
Published: August 2023

A monoanionic N–P ligand L3 with a pendant dimethylamino group was designed. Species with multiple U–C bonds—a rare example of a metallafluorene containing an actinide element—and clusters with multiple U–M bonds were isolated.
Recent advances of metal oxide catalysts for electrochemical NH3 production from nitrogen-containing sources
Authors: Li Bowen , Zhu Yinlong , Guo Wanlin
Published: August 2023

This article summarizes recent advances in metal oxides catalyzed ammonia production via the electrocatalysis of N2 and nitrates. Critical challenges and future research directions to accomplish their potential industrialization are discussed.
Poly(silylene arylacetylene)s containing hexafluoroisopropylidene with attractive mechanical properties and dielectric performance for wave-transparent composites
Authors: Gong Changjun , Huang Xiaohan , Lv Shuaikang , Li Jixian , Tang Junkun , Huang Farong
Published: August 2023

The introduction of hexafluoroisopropylidene and aryl ether units endows the poly(silylene arylacetylene)s with attractive dielectric performance and mechanical properties.
Porous yet densely packed metal–organic frameworks (MOFs) toward ultrastable oxygen evolution at practical current densities
Authors: Wang Haiming , Li Ming , Duan Jingjing , Chen Sheng
Published: August 2023

We report the confined growth of nickel, iron-metal–organic framework electrodes characteristic of porous yet densely packed architectures, which shows excellent activities toward oxygen evolution at the practical levels of catalyst loadings.
Triplet states in the reaction center of Photosystem II
Authors: Bhattacharjee Sinjini , Neese Frank , Pantazis Dimitrios A.
Published: August 2023

Multiscale simulations in combination with time-dependent density functional theory are used to explore the energetics, localization, and spectroscopic properties of triplet states in the reaction center of Photosystem II.
Co-dependency of TiO2 underlayer and ZrO2 top layer in sandwiched microwave-assisted Zr-Fe2O3 photoanodes for photoelectrochemical water splitting
Authors: Hwang Jun Beom , Mahadik Mahadeo A. , Anushkkaran Periyasamy , Choi Sun Hee , Chae Weon-Sik , Kumar Manish , Pathan H. M. , Lee Hyun Hwi , Jang Jum Suk
Published: August 2023

We report the synergistic effect of ZrO2 top and TiO2 under layers on the microwave-assisted Zr-Fe2O3 photoanodes. The optimum TZF2ZQ exhibited 144.5 and 71.3 μmol of H2 and O2 evolution at 1.23 V vs. RHE.
Reconstruction of the ZIF-67 structure and boosted hydrogen evolution reaction in an alkaline medium
Authors: Guo Hanghang , Che Aibing , Mi Wanliang , Zhang Yajuan , Shi Xingwei
Published: August 2023

This work reports the preparation and characterization of a CoPB@ZIF-67/NF heterogeneous electrocatalyst for hydrogen evolution, which was found to have more active sites and improved charge transfer kinetics compared to other catalysts.
Material design for converting an oxidative-type BiVO4 catalyst into a reductive BiV(S,O)4−x sulfo-oxide catalyst for nitrogen photoreduction to ammonia
Authors: Chen Xiaoyun , Zhang Pengkun , Kuo Dong-Hau , Wu Qinhan , Abdeta Adugna Boke , Wu Binghong , Su Zhengjie , Chen Longyan , Zelekew Osman Ahmed , Lin Jinguo
Published: August 2023

Herein, we demonstrated S2− anion incorporation into BiVO4 for converting an oxidative-type BiVO4 photocatalyst into a reductive-type BiV(S,O)4−x (labeled BiVOS) sulfo-oxide photocatalyst for efficient N2 fixation under an ambient environment.
Story Generation and Narrative Retells in Children Who Are Hard of Hearing and Hearing Children
Authors: Walker Elizabeth A. , Harrison Melody , Baumann Rachel , Moeller Mary Pat , Sorensen Eldon , Oleson Jacob J. , McCreery Ryan W.
Published: August 2023

Purpose:

The primary goal for this study was to compare story generation and narrative retell performance in children who are hard of hearing (CHH) and hearing children. A secondary goal was to determine factors that influence narrative performance. Research on this topic is important because narrative language competency is an essential communication function.

Method:

Participants included 86 CHH and 53 seven-year-old hearing children who had completed a test battery composed of vocabulary, grammar, phonological processing, story generation, and narrative retell tasks. Coders who were blind to hearing status used a scoring rubric to judge the quality of narrative macrostructure in story generation and narrative retells. Data were analyzed using analysis of variance to determine group differences and correlational models to examine individual differences.

Results:

At 7 years of age, CHH demonstrated significant deficits in narrative macrostructure compared to hearing children, with larger delays in narrative retell than story generation. Vocabulary, grammar, and phonological memory acted as mediators in the relationship between hearing status and story generation; grammar acted as a mediator between hearing status and narrative retell. Auditory access variables accounted for a significant proportion of shared variance in story generation skills for CHH.

Conclusions:

School-age CHH are at risk for delays in narrative production, particularly with retelling stories. The results of this study highlight a narrative coding approach and task procedures that are sensitive to differences in language levels and may be clinically useful for professionals working with early school-age children.
The Utility of the Dynamic Indicators of Basic Early Literacy Skills as a Literacy Screener for Children Who Are Deaf or Hard of Hearing
Authors: Burke Diana , Cooper Ellie , Werfel Krystal L.
Published: August 2023

Purpose:

The purpose of this study was to (a) compare outcomes between children who are deaf or hard of hearing (DHH) and children with typical hearing (CTH) on the Dynamic Indicators of Basic Early Literacy Skills (DIBELS), Eighth Edition assessment and (b) compare outcomes of children who are DHH on the DIBELS to other standardized literacy assessments.

Method:

Participants included 19 children who are DHH and 19 CTH in kindergarten or first grade. All participants who are DHH had bilateral hearing loss and used listening technology. The participants completed timed and untimed standardized literacy assessments. Data were analyzed using independent-samples
t
test, chi-square analysis, and Pearson correlation analysis.

Results:

Only one of five subtests on the DIBELS, the Oral Reading Fluency subtest, revealed a significant difference in scores between children who are DHH and CTH. Despite this difference, there were no differences in the distribution of risk between the groups. The DIBELS scores of children who are DHH strongly correlated to their scores on other standardized literacy assessments.

Conclusions:

The results indicate that the DIBELS is an adequate measure to screen early literacy skills for children who are DHH. The DHH and CTH groups differ in reading comprehension using a standardized measure; however, the DIBELS does not measure this skill. Further assessments of reading comprehension along with the DIBELS are recommended when assessing these skills in children who are DHH.
A data‐driven method for microgrid bidding optimization in electricity market
Authors: Yan Rudai , Xu Yan
Published: August 2023

This paper presents a deep reinforcement learning based data‐driven solution to the microgrid bidding in the electricity market considering offers for the reserve market. The framework, based on the Markov decision process, models the microgrid's participation in the electricity market at different stages, including bidding, market‐clearing, and reserve activation. The problem is split into two stages: day‐ahead submission and real‐time market period, and the proposed method mainly focus on the first stage. The state information from state‐space models of distributed energy resources serves as input for the policy network. A deep deterministic policy gradient is employed to train the network and produce a deterministic bidding strategy. The second stage can then adjust this strategy based on the results from the first stage. The method is validated with real‐world microgrid systems and data from the Singapore spot market.
Coherent direction of arrival estimation based on low‐rank matrix recovery utilising L2‐norm with moving coprime arrays
Authors: Yang Youzhen , Wang Jianhui , Cui Weijia , Ba Bin
Published: August 2023

In this article, an effective algorithm is proposed for direction‐of‐arrival (DOA) estimation of coherent signals using the l2‐norm with moving coprime arrays. The proposed algorithm exhibits high accuracy and robustness in decorrelation of coherent signals compared to existing methods. Firstly, the received signal is filtered on the moving coprime array and a signal model is constructed that is compatible with the moving coprime array. Next, virtual sensors is inserted into the holes of the moving coprime array and the received signals are initialised. Then, the Toeplitz matrix is reconstructed based on the covariance matrix of the initial signal and perform low‐rank matrix recovery to eliminate signal coherence by compensating the matrix for zero. Finally, the DOA estimation for the signal is performed using spectral peak search. Simulation results verify that the estimation accuracy of our proposed algorithm outperforms various existing algorithms.
The multiplicity of massive stars in the Scorpius OB1 association through high-contrast imaging
Authors: Pauwels T. , Reggiani M. , Sana H. , Rainot A. , Kratter K.
Published: August 2023

Context.Despite past efforts, a comprehensive theory of massive star formation is still lacking. One of the most remarkable properties of massive stars is that almost all of them are found in binaries or higher-order multiple systems. Since multiplicity is an important outcome parameter of a star formation process, observations that cover the full companion mass ratio and separation regime are essential to constrain massive star formation theories.

Aims.We aim to characterise the multiplicity properties of 20 OB stars (one of which turned out to be a foreground object) in the active star-forming region Sco OB1 in the separation range 0.″15–6″ (∼200−9000 AU), using high-contrast imaging observations. These observations enabled us to reach very large magnitude differences and explore an as of yet uncharted territory of companions around massive stars.

Methods.We used VLT/SPHERE to simultaneously observe with IFS and IRDIS, obtaining high-contrast imaging observations that cover a field of view (FoV) of 1.″73 × 1.″73 inYJHbands and 11″ × 12.″5 inK1andK2bands, respectively. We extracted low-resolution IFS spectra of candidate companions within 0.″85 and compared them with PHOENIX and ATLAS9 atmosphere models to obtain an estimate of their fundamental parameters. Furthermore, we retrieved an estimate of the mass and age of all sources in the larger IRDIS FoV. The observations reached contrast magnitudes of ΔK1 ∼ 13 on average, so we were able to detect sources at the stellar-substellar boundary.

Results.In total, we detect 789 sources, most of which are likely background sources. Thirty objects that are estimated to be in the stellar mass regime have a 20% or lower probability of being spurious associations. We obtain SPHERE companion fractions of 2.3 ± 0.4 and 4.1 ± 0.8 for O- and B-type stars, respectively. Splitting the sample between more massive (> 20 M⊙) and less massive stars (< 20 M⊙), we obtain companion fractions of 2.3 ± 0.4 and 3.9 ± 0.7, respectively. Including all previously detected companions, we find a total multiplicity fraction of 0.89 ± 0.07 for separations in the range of ∼0−12 000 AU.

Conclusions.With SPHERE, we are probing an unexplored area in the magnitude versus separation diagram of companions, which is crucial to achieve a complete overview of the multiplicity properties of massive stars and ultimately improve our understanding of massive star formation.
Suicidal attempt among patients with schizophrenia: A cross-sectional study from Morocco
Authors: Yassmine Kassal , Khadija Fritah , Naila Nakidi , Naima Arji , Siham Belbachir , Laboudi Fouad , Mesfioui Abdelhalem , Ouanass Abderrazzak , Tamouza Ryad , El Hessni Aboubaker
Published: August 2023

Suicide constitutes the greatest risk factor for mortality in individuals with schizophrenia. Although numerous risk factors have been suggested as important predictors of suicidality in schizophrenia, most studies have focused on Caucasian and Chinese patients.

This study aimed to examine the prevalence of suicide attempts in schizophrenia patients in Rabat-Sale-Kenitra, Morocco, and to identify associated clinical and sociodemographic characteristics.

A cross-sectional study was conducted at the Ar-RAZI Psychiatric Center of Ibn Sina Hospital in Rabat. We examined 175 Moroccan schizophrenic patients. The sociodemographic and clinical variables were analyzed based on the presence or absence of suicide attempts.

The prevalence of suicide attempts among patients was 32%. 43% of them had reported multiple suicide attempts. The majority of those who attempted suicide were single, younger, and with a lower economic status. Visual hallucinations were significantly prevalent among attempter patients compared to non-attempters (p =0.032).

Consequently, visual hallucinations could be a risk factor for suicide attempts in the Moroccan population.

Understanding sociodemographic and clinical characteristics associated with suicide attempts can help identify patients at higher risk and provide appropriate support and interventions to prevent suicide among the Moroccan population.
Importance of urbanized wetlands environments in the reproduction of avifauna, city of Martil (Region of Tetouan) in Morocco
Authors: Mars Naima , Maouni Abdelfattah , Saïdi Rabah
Published: August 2023

This study focused on the significance of urban and peri-urban wetlands in the Martil plain of Tetouan, Morocco, for bird reproduction. Conducted over a two-year period, the research employed fixed-site counting and weekly visits to assess reproductive indicators such as chicks, nests, courtship displays, and territorial defense. The findings demonstrated that these wetland environments play a vital role in the reproduction of 37 bird species from 15 families, including species of national importance, declining Mediterranean species, vulnerable species according to the IUCN, and rare breeding species. These results underscore the critical importance of conserving and sustainably managing these wetland areas. By prioritising the preservation of urban and peri-urban wetlands, Morocco can contribute to global biodiversity conservation efforts while addressing the challenges of urbanization and climate change
The relationship to money in the digital age in Morocco and its environmental impact
Authors: Naji Meriem , Jehouani Rachida
Published: August 2023

The present paper posits that digitization has changed our relationship to work and, through it, our relationship to money. In today’s world, individuals can benefit from a variety of income-generating activities, taking full advantage of the possibilities provided on the Internet. The shift towards online and digital forms of work has also led to a significant change in the way individuals relate to money. The emergence of the digital era has deeply affected the practices and representations related to money and work, especially among online workers. An increasing number of people are openly disclosing their earnings from online activities. It is precisely this new relationship to money that we wish to explore. In order to narrow down the virtual field of study, this research specifically focuses on the activity of Dropshipping. As such, this research aims to explore the relationship to money in Morocco among online workers by adopting a methodological approach combining different investigation methods. The research draws on methods such as a questionnaire and semistructured interviews to provide an in-depth insight into the experiences of dropshippers and their relationship to money. Through these methods, we explore the representations, monetary practices and the perceptions of the people involved in dropshipping.
Environmental Management and its Impact on Psychosocial Health in Industrial Companies
Authors: Charroud Soukaina , Errabih Zakia , Raissouni Kenza , Bourekkadi Salmane
Published: August 2023

Nowadays, Morocco keeps showing several efforts as part of sustainable development to introduce environmental management measures within companies, no matter what their size or activity field. However, studies prove the impact of these measures on psychosocial risk management which are still limited or inexistent. This paper explores the impact of poor environmental management as a factor affecting health and psychosocial well-being at work. The question is: How can environmental practices contribute to reducing psychosocial risks in the workplace? To answer this question, an experiment including the distribution of a questionnaire was carried out, addressed to 150 employees working in industrial companies in the Larache’s region, Morocco. The collected responses show that the psychosocial health of more than ninety percent of those surveyed is directly impacted by living conditions at work. These results indicate that responsible environmental management practices are necessary to improve employee well-being and reduce psychosocial risks in organisations.
The impact of the integrated supply chain on the operational performance of companies in the Moroccan electric vehicle sector
Authors: Raissouni Rajaa , Hamiche M’hamed , Bourekkadi Salmane , Raissouni Kenza
Published: August 2023

This study supports the idea that supply chain integration decisions are essential in the choice of strategy for the electric automotive industry in Morocco. Some studies indicate that the most admired and feared competitors today are companies that link customers and suppliers and their internal processes to tightly integrated networks. On the other hand, empirical studies have shown that supply chain integration is no guarantee of success. On the basis of these assertions, we will examine the relationship between supply chain operational performance-dependent variables (cost, quality, flexibility, and time) and integration-independent variables (customer, supplier, and internal integration). The current research is considered a causality study, addressing the effect of the three dimensions of integration on the operational performance of companies in the Moroccan electric automotive sector. Empirical data were collected from 253 companies, using a questionnaire developed and refined through interviews with experts and the panel of judges. Statistical techniques such as descriptive statistics, correlation and multiple regressions were used. The results of the study indicate a significant positive relationship between the integrated supply chain and the operational performance of the supply chain of companies in the Moroccan electrical automotive sector. Thus, the results affirmed that this sector interlocutors report a close relationship between integration and supply chain performance.
The impact of mining on the environment in Morocco
Authors: Raji Nihal , Nadir Bouchra
Published: August 2023

The mining sector is one of the pillars of economic growth, although it still has a negative impact on the environment. Mines have a significant impact on the environment in Morocco, both ecologically and socially. Mining as a source of income and economic development also has crucial consequences. In environmental terms. The opening of mines often leads to the destruction of local ecosystems. From this, deforestation, biodiversity loss and habitat fragmentation are frequent consequences of mining. In addition, mineral extraction can result in air, water and soil pollution due to the use of toxic chemicals and the release of fine particles. This has disastrous effects on water quality, the health of local populations and aquatic ecosystems. Mines also have significant social impacts. Local communities may be displaced from their ancestral lands, losing their livelihoods and their connection to their natural environment. Mine workers may be exposed to hazardous working conditions and high health risks. The Moroccan government has taken measures to mitigate the environmental impacts of mines, such as adopting stricter environmental regulations and promoting more sustainable mining practices.
Life forms after cancer remission following treatment and disposal of medical waste
Authors: Toufik Khadija , Houssam Touria
Published: August 2023

Our research discusses the life forms after the remission of cancer following treatment and disposal of medical waste. The semi-structured interviews conducted with the surveyed individuals who are sick and in remission help us understand their perception of themselves and the future of their family relationships during the illness process. The data collected through faceto-face interviews, WhatsApp, and questionnaires reveal that the surveyed individuals acquire new identities. The majority of respondents declare that their personalities have evolved positively, while others have a negative outlook on their cancer experience. This could be attributed to various factors influencing the development of this perception. We observe a certain intertwining and unraveling of our surveyed individuals’ relationships with their surroundings. There is a weakening of sibling bonds, whereas marital bonds are strengthened, and new connections are formed with strangers throughout the care process for our surveyed individuals. Family relationships contribute to the health outcomes of cancer patients, including their remission or recurrence. The data from our research unveil the respondents’ reactions to medical waste as a sign of remission.
Risk management for improving water quality: Application of the HACCP method
Authors: El Attaoui Zuhair , Alaoui Sossi Fatima Zohra , El Khatori Youssef
Published: August 2023

Risk management is key to improving water quality and ensuring the safety of the drinking water supply. Identifying sources of risk introduces the first phase of risk management is to identify potential sources of water contamination. That can include industrial pollution, accidental spills, agricultural discharges, failing treatment infrastructure, contaminant seepage into water sources, etc. A thorough analysis of the different sources of risk provides a better understanding of the threats to water quality. Once the sources of risk have been identified, it is essential to carry out a risk assessment. That involves analyzing the probability of occurrence of adverse events and the impact they could have on water quality. Tools such as Failure Modes, Effects and Criticality Analysis (FMECA) can be used to assess risk in a systematic way. Based on the risk assessment, preventive measures should be put in place to reduce the likelihood of occurrence of adverse events. That may include implementing good agricultural practices, regulating industrial discharges, regularly inspecting water treatment facilities, continuously monitoring water sources, etc. The objective is to prevent potential sources of contamination and minimize the associated risks. Regular monitoring of water quality is a key component of risk management. That involves collecting water samples at different stages of the water supply process, as well as testing for the presence of contaminants. Having effective monitoring systems in place allows potential problems to be identified quickly and appropriate corrective action to be taken. Despite the preventive measures, it is important to be prepared for possible emergency situations. Emergency response planning should include clear protocols and actions to be taken in the event of water contamination, to minimize public health impacts. That may include alert plans, communication procedures, alternative means of treatment, and coordination with competent authorities. The objective of This article is to conduct a risk analysis related to the drinking water distribution process. Using the HACCP method applied within the Laboratory attached to the water distribution company in northern Morocco, we will focus on the main causes of the risks tainting This process, based on the results the processing of samples in order to guarantee the safety and quality of drinking water in the Larache region and contribute to the efforts to protect water against the deterioration of the quality and quantity due to pollution and waste.
Artificial Intelligence in Green Management and the Rise of Digital Lean for Sustainable Efficiency
Authors: Ayoubi Hanan , Tabaa Yassine , El kharrim Moad
Published: August 2023

Artificial intelligence (AI) is a powerful management technology that offers analyzes and insights superior to those made by humans. It cuts costs and saves time by automating repetitive processes, forecasting customer demand and optimizing supply chains while taking into consideration their impact on sustainability and the environment. Organizations become more efficient through the integration of AI, which increases performance and decision-making. This essay examines the use of AI in management and the advent of digital lean, which combines lean manufacturing with technological innovation. The environmental benefits of AI, including energy efficiency and sustainable manufacturing, are also advocated. To realize the environmental sustainability benefits of AI, issues such as data privacy and scalability, as well as the need for responsible AI cooperation and practices, are highlighted.
Sustainable MapReduce: Optimizing Security and Efficiency in Hadoop Clusters with Lightweight Cryptography-based Key Management
Authors: Khadji Marwa , Kholji Samira , Bourekkadi Salmane , Larbi kerkeb Mohamed
Published: August 2023

The exponential growth of big data has led to a significant increase in the volume and complexity of data being generated and stored. This trend has created a huge demand for secure storage and processing of big data. Cryptography is a widely used technique for securing data, but traditional cryptography algorithms are often too resource-intensive for big data applications. To address this issue, light weight cryptography algorithms have been developed that are optimized for low computational overhead and low memory utilization. This research paper explores the use of a new sustainable algorithm that utilizes a lightweight cryptographybased key management scheme to optimize MapReduce security and computational efficiency in Hadoop clusters. The proposed sustainable MapReduce algorithm aims to reduce memory and CPU allocation, thereby significantly reducing the energy consumption of Hadoop clusters. The paper emphasizes the importance of reducing energy consumption and enhancing environmental sustainability in big data processing and highlights the potential benefits of using sustainable lightweight cryptography algorithms in achieving these goals. Through rigorous testing and evaluation, the paper demonstrates the effectiveness of the proposed sustainable MapReduce algorithm in improving the energy efficiency and computational performance of Hadoop clusters, making it a promising solution for sustainable big data processing.
A review of the avifauna visiting the wetland environments of the Martil plain (Tetouan region, northern Morocco): Preliminary results
Authors: Mars Naïma , Haddad Ouafaa , Jaouani Moussa , Maouni Abdelfattah , Saïdi Rabah
Published: August 2023

The wetland environments of the plain of Martil are located in an urban area in the Tetouan region (Northern Morocco); they provide wildlife a place to live and are important for migratory birds as they travel from nesting to wintering sites. The objective of this study is to monitor the avifauna population that frequents these ecosystems. The study duration is from January 2021 to June 2022. The survey methods are the point count and visual identification, using appropriate visual equipment and according to an ornithological guide. The avifauna recorded encompasses a total of 93 bird species and 33 families. A variety of wintering, migratory, and breeding species were identified. The population includes several species of special conservation concern, such as endemic species, heritage species, species in decline, vulnerable species, endangered species and species at risk of extinction, in Morocco, in the Maghreb or in Europe. These ornithological findings underscore the significance of preserving and restoring these urban wetland environments. However, these ecosystems face a range of pressures, including urban development, climate change and anthropogenic activities.
Optimizing LSTM Models for EUR/USD Prediction in the context of reducing energy consumption: An Analysis of Mean Squared Error, Mean Absolute Error and R-Squared
Authors: Echrigui Rania , Hamiche Mhamed
Published: August 2023

The purpose of this study was to develop and evaluate a Long Short-Term Memory (LSTM) model for Forex prediction. The data used was reprocessed and the LSTM model was developed and trained using a supervised learning approach with popular deep learning frameworks. The performance of the model was evaluated using metrics such as Mean Squared Error (MSE), Mean Absolute Error (MAE), and R-squared. In addition, we examined the literature on energy efficiency, highlighting its potential for reducing computational load and, consequently, energy consumption. We also considered the environmental impact of using such models. The results showed that the LSTM model was effective in Forex prediction and demonstrated superior performance compared to other predictive models. The best model among the several LSTM models evaluated had 90 epochs. These results provide evidence for the efficacy of the LSTM model in Forex prediction and highlight the potential benefits of using deep learning techniques in this field, particularly in terms of energy efficiency and environmental sustainability.
Cyber-attack crisis management in the context of energy companies
Authors: Raissouni Kenza , Errabih Zakia , Bourekkadi Salmane , Raissouni Rajaa
Published: August 2023

The aim of this research is to present and analyze a set of public or private energy companies that have been victims of cyber-attacks, while identifying various lessons that can guide other companies towards effective crisis management in response to this risk. To achieve this, we have adopted an exploratory approach that involves utilizing, in an original manner, the raw material derived from a collection of published articles and other documents that have addressed and presented the phenomenon of cyber-attacks on private and public energy companies. The main findings of this study demonstrate that, for effective management of a cyber-attack crisis, legislation must serve as a catalyst for anticipating and managing the crisis through innovative and ambitious draft texts. Additionally, companies must possess the necessary skills and expertise to respond to cyberattack crises, including the technical infrastructure and software required to counter cyber incidents. Furthermore, fostering a collaborative and multi-disciplinary team-building capacity led by a pilot with a comprehensive and unified vision, along with the ability to make prompt decisions, is of paramount importance.