Synthesis and anti-Aphid Aphis gossypii (Glover) activity of some new quinoline derivatives

A series of quinoline derivatives have been elaborated fromreaction of 2-(m- and p-acetylanilino)-quinolines 6a-b withaldehydes under Claisen-Schmidt conditions followed by cyclization with phenyl hydrazine and hydroxylamine. Reaction of  6a and 6b with hydrazine, semicarbazide and thiosemicarbazide, cyanoacetylhydrazide and subsequent some condensation reactions led to diverse quinoline derivatives. Anti aphid  Aphis gossypii that harm cotton cropin Egypt was screened. Compound  12 showed an LC50 value of 19429E-10 ppm which is very more active than Marshal (Carbosulfan), one of the broad spectrum insecticides widely used in this field

Dolphin: A Challenging and Diverse Benchmark for Arabic NLG

We present Dolphin, a novel benchmark that addresses the need for an evaluation framework for the wide collection of Arabic languages and varieties. The proposed benchmark encompasses a broad range of 13 different NLG tasks, including text summarization, machine translation, question answering, and dialogue generation, among others. Dolphin comprises a substantial corpus of 40 diverse and representative public datasets across 50 test splits, carefully curated to reflect real-world scenarios and the linguistic richness of Arabic. It sets a new standard for evaluating the performance and generalization capabilities of Arabic and multilingual models, promising to enable researchers to push the boundaries of current methodologies. We provide an extensive analysis of Dolphin, highlighting its diversity and identifying gaps in current Arabic NLG research. We also evaluate several Arabic and multilingual models on our benchmark, allowing us to set strong baselines against which researchers can compare

Friedel-Crafts chemistry: Part 41. A new facile synthesis of indeno[1,2-c] pyrazoles, 2H-benzo[g]indazoles and benzo[6,7]cyclohepta[1,2-c]pyrazoles via Friedel-Crafts ring closures

Expedient and novel alternative synthesis of some fused heteropolycycles containing pyrazole moiety is described. A series of indeno[1,2-c]pyrazoles, 2H-benzo[g]indazoles and benzo[6,7] cyclohepta[1,2-c]pyrazoles were prepared by Friedel-Crafts ring closure of suitable synthesized carboxylic acids and alkanols in the presence of AlCl3/CH3NO2 or P2O5 or PPA (polyphosphoric acid) catalysts. The precursor acids were obtained by utilizing KMnO4 oxidation of the corresponding aldehyde, alkylations of diethyl malonates and Perkin type approaches, whereas starting alkanols were smoothly obtained by reaction of carboxylic acid ester with Grignard reagent. To exemplify, cyclizations of 5-chloro-1,3-diphenyl-1H-pyrazole-4-carboxylic acid (6) were accomplished using the above catalysts afforded 3-chloro-2-phenylindeno[1,2-c]pyrazol-4(2H)-one (1b). Similarly, cyclization of the 2-(5-chloro-1,3-diphenyl-1H-pyrazol-4-yl)propan-2-ol (8) by a Friedel–Crafts-type ring closure afforded the 3-chloro-2,4-dihydro-4,4-dimethyl-2-phenylindeno[1,2-c]pyrazole (1a)

ProMap: Effective Bilingual Lexicon Induction via Language Model Prompting

Bilingual Lexicon Induction (BLI), where words are translated between two languages, is an important NLP task. While noticeable progress on BLI in rich resource languages using static word embeddings has been achieved. The word translation performance can be further improved by incorporating information from contextualized word embeddings. In this paper, we introduce ProMap, a novel approach for BLI that leverages the power of prompting pretrained multilingual and multidialectal language models to address these challenges. To overcome the employment of subword tokens in these models, ProMap relies on an effective padded prompting of language models with a seed dictionary that achieves good performance when used independently. We also demonstrate the effectiveness of ProMap in re-ranking results from other BLI methods such as with aligned static word embeddings. When evaluated on both rich-resource and low-resource languages, ProMap consistently achieves state-of-the-art results. Furthermore, ProMap enables strong performance in few-shot scenarios (even with less than 10 training examples), making it a valuable tool for low-resource language translation. Overall, we believe our method offers both exciting and promising direction for BLI in general and low-resource languages in particular. ProMap code and data are available at \url{https://github.com/4mekki4/promap}.Comment: To appear in IJCNLP-AACL 202

In Vivo Visualization of Hair Follicles by Ultrasound Biomicroscopy in Alopecia Areata and its Correlation with Histopathology

Ultrasound biomicroscopy (UBM) is a non-invasive imaging technique used in examination of several skin diseases but never in imaging hair and scalp diseases.  Main objective of this investigation was assessment of the efficacy of UBM for in vivo visualization of hair follicles in cases of alopecia areata (AA) and correlation of findings with histopathological findings. This study included 30 patients with AA. Two areas, one with AA and a control area, were marked, examined by UBM and then biopsied for histopathological examination. In patients with alopecia totalis (AT) or universalis (AU) only an AA area was examined. Non-echogenic conical shadows reaching the epidermal entrance echo (probably corresponding to the hair follicles) were seen and were wider and fewer in number in areas of AA than in normal control areas. No significant difference was found regarding number and width of hair follicles between UBM and histopathological examination. However, a significant increase in length of follicles in histopathology was detected, indicating that the UBM image was probably unable to reach the deepest part of the follicle. Main limitation of the study is small number of cases. No significant difference was found between UBM and histological measurements of hair follicle number and width in patients with AA, making UBM a useful tool for in vivo visualization of hair follicles. </p

TARJAMAT: Evaluation of Bard and ChatGPT on Machine Translation of Ten Arabic Varieties

Despite the purported multilingual proficiency of instruction-finetuned large language models (LLMs) such as ChatGPT and Bard, the linguistic inclusivity of these models remains insufficiently explored. Considering this constraint, we present a thorough assessment of Bard and ChatGPT (encompassing both GPT-3.5 and GPT-4) regarding their machine translation proficiencies across ten varieties of Arabic. Our evaluation covers diverse Arabic varieties such as Classical Arabic (CA), Modern Standard Arabic (MSA), and several country-level dialectal variants. Our analysis indicates that LLMs may encounter challenges with dialects for which minimal public datasets exist, but on average are better translators of dialects than existing commercial systems. On CA and MSA, instruction-tuned LLMs, however, trail behind commercial systems such as Google Translate. Finally, we undertake a human-centric study to scrutinize the efficacy of the relatively recent model, Bard, in following human instructions during translation tasks. Our analysis reveals a circumscribed capability of Bard in aligning with human instructions in translation contexts. Collectively, our findings underscore that prevailing LLMs remain far from inclusive, with only limited ability to cater for the linguistic and cultural intricacies of diverse communities.Comment: ArabicNLP 202

Plant growth-promoting microorganisms as biocontrol agents of plant diseases: Mechanisms, challenges and future perspectives

Plant diseases and pests are risk factors that threaten global food security. Excessive chemical pesticide applications are commonly used to reduce the effects of plant diseases caused by bacterial and fungal pathogens. A major concern, as we strive toward more sustainable agriculture, is to increase crop yields for the increasing population. Microbial biological control agents (MBCAs) have proved their efficacy to be a green strategy to manage plant diseases, stimulate plant growth and performance, and increase yield. Besides their role in growth enhancement, plant growth-promoting rhizobacteria/fungi (PGPR/PGPF) could suppress plant diseases by producing inhibitory chemicals and inducing immune responses in plants against phytopathogens. As biofertilizers and biopesticides, PGPR and PGPF are considered as feasible, attractive economic approach for sustainable agriculture; thus, resulting in a “win-win” situation. Several PGPR and PGPF strains have been identified as effective BCAs under environmentally controlled conditions. In general, any MBCA must overcome certain challenges before it can be registered or widely utilized to control diseases/pests. Successful MBCAs offer a practical solution to improve greenhouse crop performance with reduced fertilizer inputs and chemical pesticide applications. This current review aims to fill the gap in the current knowledge of plant growth-promoting microorganisms (PGPM), provide attention about the scientific basis for policy development, and recommend further research related to the applications of PGPM used for commercial purposes

In Vivo Visualization of Hair Follicles by Ultrasound Biomicroscopy in Alopecia Areata and its Correlation with Histopathology

Ultrasound biomicroscopy (UBM) is a non-invasive imaging technique used in examination of several skin diseases but never in imaging hair and scalp diseases.  Main objective of this investigation was assessment of the efficacy of UBM for in vivo visualization of hair follicles in cases of alopecia areata (AA) and correlation of findings with histopathological findings. This study included 30 patients with AA. Two areas, one with AA and a control area, were marked, examined by UBM and then biopsied for histopathological examination. In patients with alopecia totalis (AT) or universalis (AU) only an AA area was examined. Non-echogenic conical shadows reaching the epidermal entrance echo (probably corresponding to the hair follicles) were seen and were wider and fewer in number in areas of AA than in normal control areas. No significant difference was found regarding number and width of hair follicles between UBM and histopathological examination. However, a significant increase in length of follicles in histopathology was detected, indicating that the UBM image was probably unable to reach the deepest part of the follicle. Main limitation of the study is small number of cases. No significant difference was found between UBM and histological measurements of hair follicle number and width in patients with AA, making UBM a useful tool for in vivo visualization of hair follicles. </p